subject:(Multivariate analysis)

University of Notre Dame

1. Daniel B. McArtor. Extending a Distance-Based Approach to Multivariate Multiple Regression</h1>.

Degree: Psychology, 2017, University of Notre Dame

URL: https://curate.nd.edu/show/qb98mc90825

► This dissertation concerns the development of a person-centered extension to the linear model that can be used to test the association of multivariate outcome… (more)

Subjects/Keywords: PERMANOVA; multivariate linear model; multivariate distance matrix regression; multivariate multiple regression; multivariate analysis; MANOVA

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APA (6^th Edition):

McArtor, D. B. (2017). Extending a Distance-Based Approach to Multivariate Multiple Regression</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/qb98mc90825

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

McArtor, Daniel B.. “Extending a Distance-Based Approach to Multivariate Multiple Regression</h1>.” 2017. Thesis, University of Notre Dame. Accessed February 26, 2021. https://curate.nd.edu/show/qb98mc90825.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

McArtor, Daniel B.. “Extending a Distance-Based Approach to Multivariate Multiple Regression</h1>.” 2017. Web. 26 Feb 2021.

Vancouver:

McArtor DB. Extending a Distance-Based Approach to Multivariate Multiple Regression</h1>. [Internet] [Thesis]. University of Notre Dame; 2017. [cited 2021 Feb 26]. Available from: https://curate.nd.edu/show/qb98mc90825.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

McArtor DB. Extending a Distance-Based Approach to Multivariate Multiple Regression</h1>. [Thesis]. University of Notre Dame; 2017. Available from: https://curate.nd.edu/show/qb98mc90825

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Shimomura, Kantaro. Learning coefficient in estimation of covariance matrices. : 共分散行列の推定における学習係数; キョウブンサンギョウレツノスイテイニオケルガクシュウケイスウ.

Degree: Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

URL: http://hdl.handle.net/10061/10543

Subjects/Keywords: multivariate analysis

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APA (6^th Edition):

Shimomura, K. (n.d.). Learning coefficient in estimation of covariance matrices. : 共分散行列の推定における学習係数; キョウブンサンギョウレツノスイテイニオケルガクシュウケイスウ. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/10543

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Shimomura, Kantaro. “Learning coefficient in estimation of covariance matrices. : 共分散行列の推定における学習係数; キョウブンサンギョウレツノスイテイニオケルガクシュウケイスウ.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed February 26, 2021. http://hdl.handle.net/10061/10543.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Shimomura, Kantaro. “Learning coefficient in estimation of covariance matrices. : 共分散行列の推定における学習係数; キョウブンサンギョウレツノスイテイニオケルガクシュウケイスウ.” Web. 26 Feb 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Shimomura K. Learning coefficient in estimation of covariance matrices. : 共分散行列の推定における学習係数; キョウブンサンギョウレツノスイテイニオケルガクシュウケイスウ. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10061/10543.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Shimomura K. Learning coefficient in estimation of covariance matrices. : 共分散行列の推定における学習係数; キョウブンサンギョウレツノスイテイニオケルガクシュウケイスウ. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; Available from: http://hdl.handle.net/10061/10543

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Washington State University

3. [No author]. Multivariate discrete phase-type distributions .

Degree: 2005, Washington State University

URL: http://hdl.handle.net/2376/303

Subjects/Keywords: Multivariate analysis.

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APA (6^th Edition):

author], [. (2005). Multivariate discrete phase-type distributions . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/303

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

author], [No. “Multivariate discrete phase-type distributions .” 2005. Thesis, Washington State University. Accessed February 26, 2021. http://hdl.handle.net/2376/303.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

author], [No. “Multivariate discrete phase-type distributions .” 2005. Web. 26 Feb 2021.

Vancouver:

author] [. Multivariate discrete phase-type distributions . [Internet] [Thesis]. Washington State University; 2005. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/2376/303.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

author] [. Multivariate discrete phase-type distributions . [Thesis]. Washington State University; 2005. Available from: http://hdl.handle.net/2376/303

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Oregon State University

4. Sexton, Gary Joe. Multivariate density estimation : a Bayesian approach.

Degree: PhD, Statistics, 1975, Oregon State University

URL: http://hdl.handle.net/1957/44434

Subjects/Keywords: Multivariate analysis

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APA (6^th Edition):

Sexton, G. J. (1975). Multivariate density estimation : a Bayesian approach. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/44434

Chicago Manual of Style (16^th Edition):

Sexton, Gary Joe. “Multivariate density estimation : a Bayesian approach.” 1975. Doctoral Dissertation, Oregon State University. Accessed February 26, 2021. http://hdl.handle.net/1957/44434.

MLA Handbook (7^th Edition):

Sexton, Gary Joe. “Multivariate density estimation : a Bayesian approach.” 1975. Web. 26 Feb 2021.

Vancouver:

Sexton GJ. Multivariate density estimation : a Bayesian approach. [Internet] [Doctoral dissertation]. Oregon State University; 1975. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1957/44434.

Council of Science Editors:

Sexton GJ. Multivariate density estimation : a Bayesian approach. [Doctoral Dissertation]. Oregon State University; 1975. Available from: http://hdl.handle.net/1957/44434

University of Ottawa

5. Tardif, Geneviève. Multivariate Analysis of Canadian Water Quality Data .

Degree: 2015, University of Ottawa

URL: http://hdl.handle.net/10393/32245

► Physical-chemical water quality data from lotic water monitoring sites across Canada were integrated into one dataset. Two overlapping matrices of data were analyzed with principal… (more)

▼ Physical-chemical water quality data from lotic water monitoring sites across Canada were integrated into one dataset. Two overlapping matrices of data were analyzed with principal component analysis (PCA) and cluster analysis to uncover structure and patterns in the data. The first matrix (Matrix A) had 107 sites located throughout Canada, and the following water quality parameters: pH, specific conductance (SC), and total phosphorus (TP). The second matrix (Matrix B) included more variables: calcium (Ca), chloride (Cl), total alkalinity (T_ALK), dissolved oxygen (DO), water temperature (WT), pH, SC and TP; for a subset of 42 sites. Landscape characteristics were calculated for each water quality monitoring site and their importance in explaining water quality data was examined through redundancy analysis. The first principal components in the analyses of Matrix A and B were most correlated with SC, suggesting this parameter is the most representative of water quality variance at the scale of Canada. Overlaying cluster analysis results on PCA information proved an excellent mean to identify the major water characteristics defining each group; mapping cluster analysis group membership provided information on their spatial distribution and was found informative with regards to the probable environmental influences on each group. Redundancy analyses produced significant predictive models of water quality demonstrating that landscape characteristics are determinant factors in water quality at the country scale. The proportion of cropland and the mean annual total precipitation in the drainage area were the landscape variables with the most variance explained. Assembling a consistent dataset of water quality data from monitoring locations throughout Canada proved difficult due to the unevenness of the monitoring programs in place. It is therefore recommended that a standard for the monitoring of a minimum core set of water quality variable be implemented throughout the country to support future nation-wide analysis of water quality data.

Subjects/Keywords: Water quality; Multivariate analysis

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APA (6^th Edition):

Tardif, G. (2015). Multivariate Analysis of Canadian Water Quality Data . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/32245

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Tardif, Geneviève. “Multivariate Analysis of Canadian Water Quality Data .” 2015. Thesis, University of Ottawa. Accessed February 26, 2021. http://hdl.handle.net/10393/32245.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Tardif, Geneviève. “Multivariate Analysis of Canadian Water Quality Data .” 2015. Web. 26 Feb 2021.

Vancouver:

Tardif G. Multivariate Analysis of Canadian Water Quality Data . [Internet] [Thesis]. University of Ottawa; 2015. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10393/32245.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tardif G. Multivariate Analysis of Canadian Water Quality Data . [Thesis]. University of Ottawa; 2015. Available from: http://hdl.handle.net/10393/32245

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

6. Goossens, Corentine. Approche métabolomique par résonance magnétique nucléaire du proton dans l'évaluation des hépatopathies stéatosiques non alcooliques et dans le suivi d'un traitement curatif du carcinome hépatocellulaire : 1H NMR-Metabolomics approaches in the assessment of the non-alcoholic fatty liver diseases and in the follow-up of the hepatocellular cacinoma curative treatment.

Degree: Docteur es, Chimie, 2015, Sorbonne Paris Cité

URL: http://www.theses.fr/2015USPCD110

►

Les atteintes hépatiques, asymptomatiques pour la plupart d’entre elles et pouvant évoluer vers des complications sévères telles que le carcinome hépatocellulaire (CHC) sont responsables de… (more)

▼

Les atteintes hépatiques, asymptomatiques pour la plupart d’entre elles et pouvant évoluer vers des complications sévères telles que le carcinome hépatocellulaire (CHC) sont responsables de plus de 15 000 décès par an en France. Le manque de marqueurs cliniques et biologiques fiables pour déterminer le degré de sévérité de l’hépatopathie ainsi que pour reconnaître les stades précoces du CHC constitue actuellement un obstacle majeur à une prise en charge optimale de la maladie. Grâce aux approches de type métabolomique et aux techniques analytiques telles que la résonance magnétique nucléaire, il est désormais possible d’obtenir une véritable cartographie des métabolites d’un individu. L’objectif de ce travail a été d’explorer, par une approche RMN métabolomique, les changements métaboliques dans le foie et dans le sérum causés par différentes pathologies hépatiques afin de proposer de nouvelles pistes dans l’amélioration du diagnostic et de la prise en charge de ces maladies. Une attention particulière a également été donnée à l’étude de la validité des paramètres de qualité des modèles de discrimination réalisés lors des analyses statistiques des données multivariées.

Most liver diseases nowadays remain symptomless and tend to lead to hepatocellular carcinoma responsible for more than 15.000 patient deaths per year in France. Liver diseases are therefore a major concern for public health.Clinicians lack of non-invasive biomarkers allowing them to enhance identification of liver diseases stages in order to efficiently target the first HCC signs and accordingly improve clinical prognosis.Identification of new biomarkers set new challenges in translational research in order torefine the prognosis and adapt therapeutic procedures.Proton nuclear magnetic resonance spectroscopy-based metabolomics enable to identifyand quantify such metabolites by defining individual metabolic fingerprints.First part of this work was to explore the metabolic modifications of liver tissue to further establish diseases stages profiles.Second part was focused on the assessment of metabolic variations in HCC patients, by analyzing sequential serums taking, before and after a radiofrequency ablation curative treatment.Third and last part was centered on the validation of the quality parameters of the discriminant models used in multivariate statistical analysis.

Advisors/Committee Members: Savarin, Philippe (thesis director).

Subjects/Keywords: Analyses multivariées; NAFLD; Multivariate analysis

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APA (6^th Edition):

Goossens, C. (2015). Approche métabolomique par résonance magnétique nucléaire du proton dans l'évaluation des hépatopathies stéatosiques non alcooliques et dans le suivi d'un traitement curatif du carcinome hépatocellulaire : 1H NMR-Metabolomics approaches in the assessment of the non-alcoholic fatty liver diseases and in the follow-up of the hepatocellular cacinoma curative treatment. (Doctoral Dissertation). Sorbonne Paris Cité. Retrieved from http://www.theses.fr/2015USPCD110

Chicago Manual of Style (16^th Edition):

Goossens, Corentine. “Approche métabolomique par résonance magnétique nucléaire du proton dans l'évaluation des hépatopathies stéatosiques non alcooliques et dans le suivi d'un traitement curatif du carcinome hépatocellulaire : 1H NMR-Metabolomics approaches in the assessment of the non-alcoholic fatty liver diseases and in the follow-up of the hepatocellular cacinoma curative treatment.” 2015. Doctoral Dissertation, Sorbonne Paris Cité. Accessed February 26, 2021. http://www.theses.fr/2015USPCD110.

MLA Handbook (7^th Edition):

Goossens, Corentine. “Approche métabolomique par résonance magnétique nucléaire du proton dans l'évaluation des hépatopathies stéatosiques non alcooliques et dans le suivi d'un traitement curatif du carcinome hépatocellulaire : 1H NMR-Metabolomics approaches in the assessment of the non-alcoholic fatty liver diseases and in the follow-up of the hepatocellular cacinoma curative treatment.” 2015. Web. 26 Feb 2021.

Vancouver:

Goossens C. Approche métabolomique par résonance magnétique nucléaire du proton dans l'évaluation des hépatopathies stéatosiques non alcooliques et dans le suivi d'un traitement curatif du carcinome hépatocellulaire : 1H NMR-Metabolomics approaches in the assessment of the non-alcoholic fatty liver diseases and in the follow-up of the hepatocellular cacinoma curative treatment. [Internet] [Doctoral dissertation]. Sorbonne Paris Cité; 2015. [cited 2021 Feb 26]. Available from: http://www.theses.fr/2015USPCD110.

Council of Science Editors:

Goossens C. Approche métabolomique par résonance magnétique nucléaire du proton dans l'évaluation des hépatopathies stéatosiques non alcooliques et dans le suivi d'un traitement curatif du carcinome hépatocellulaire : 1H NMR-Metabolomics approaches in the assessment of the non-alcoholic fatty liver diseases and in the follow-up of the hepatocellular cacinoma curative treatment. [Doctoral Dissertation]. Sorbonne Paris Cité; 2015. Available from: http://www.theses.fr/2015USPCD110

Michigan State University

7. Scheifley, Verda May, 1947-. Analysis of repeated measures data : a simulation study.

Degree: PhD, Department of Counseling, Personnel Services, and Educational Psychology, 1974, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:46026

Subjects/Keywords: Multivariate analysis

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APA (6^th Edition):

Scheifley, Verda May, 1. (1974). Analysis of repeated measures data : a simulation study. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:46026

Chicago Manual of Style (16^th Edition):

Scheifley, Verda May, 1947-. “Analysis of repeated measures data : a simulation study.” 1974. Doctoral Dissertation, Michigan State University. Accessed February 26, 2021. http://etd.lib.msu.edu/islandora/object/etd:46026.

MLA Handbook (7^th Edition):

Scheifley, Verda May, 1947-. “Analysis of repeated measures data : a simulation study.” 1974. Web. 26 Feb 2021.

Vancouver:

Scheifley, Verda May 1. Analysis of repeated measures data : a simulation study. [Internet] [Doctoral dissertation]. Michigan State University; 1974. [cited 2021 Feb 26]. Available from: http://etd.lib.msu.edu/islandora/object/etd:46026.

Council of Science Editors:

Scheifley, Verda May 1. Analysis of repeated measures data : a simulation study. [Doctoral Dissertation]. Michigan State University; 1974. Available from: http://etd.lib.msu.edu/islandora/object/etd:46026

Michigan State University

8. Belli, Gabriella M. Robustness and power of multivariate tests for trends in repeated measures data under variance-covariance heterogenity.

Degree: PhD, Department of Counseling, Educational Psychology and Special Education, 1983, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:34389

Subjects/Keywords: Multivariate analysis

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APA (6^th Edition):

Belli, G. M. (1983). Robustness and power of multivariate tests for trends in repeated measures data under variance-covariance heterogenity. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:34389

Chicago Manual of Style (16^th Edition):

Belli, Gabriella M. “Robustness and power of multivariate tests for trends in repeated measures data under variance-covariance heterogenity.” 1983. Doctoral Dissertation, Michigan State University. Accessed February 26, 2021. http://etd.lib.msu.edu/islandora/object/etd:34389.

MLA Handbook (7^th Edition):

Belli, Gabriella M. “Robustness and power of multivariate tests for trends in repeated measures data under variance-covariance heterogenity.” 1983. Web. 26 Feb 2021.

Vancouver:

Belli GM. Robustness and power of multivariate tests for trends in repeated measures data under variance-covariance heterogenity. [Internet] [Doctoral dissertation]. Michigan State University; 1983. [cited 2021 Feb 26]. Available from: http://etd.lib.msu.edu/islandora/object/etd:34389.

Council of Science Editors:

Belli GM. Robustness and power of multivariate tests for trends in repeated measures data under variance-covariance heterogenity. [Doctoral Dissertation]. Michigan State University; 1983. Available from: http://etd.lib.msu.edu/islandora/object/etd:34389

Montana State University

9. Brady, Dennis Patrick. Elimination of continuous variates used in classification and discrimination when both binary and continuous variables are present.

Degree: PhD, College of Letters & Science, 1976, Montana State University

URL: https://scholarworks.montana.edu/xmlui/handle/1/3981

Subjects/Keywords: Multivariate analysis.

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APA (6^th Edition):

Brady, D. P. (1976). Elimination of continuous variates used in classification and discrimination when both binary and continuous variables are present. (Doctoral Dissertation). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/3981

Chicago Manual of Style (16^th Edition):

Brady, Dennis Patrick. “Elimination of continuous variates used in classification and discrimination when both binary and continuous variables are present.” 1976. Doctoral Dissertation, Montana State University. Accessed February 26, 2021. https://scholarworks.montana.edu/xmlui/handle/1/3981.

MLA Handbook (7^th Edition):

Brady, Dennis Patrick. “Elimination of continuous variates used in classification and discrimination when both binary and continuous variables are present.” 1976. Web. 26 Feb 2021.

Vancouver:

Brady DP. Elimination of continuous variates used in classification and discrimination when both binary and continuous variables are present. [Internet] [Doctoral dissertation]. Montana State University; 1976. [cited 2021 Feb 26]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/3981.

Council of Science Editors:

Brady DP. Elimination of continuous variates used in classification and discrimination when both binary and continuous variables are present. [Doctoral Dissertation]. Montana State University; 1976. Available from: https://scholarworks.montana.edu/xmlui/handle/1/3981

Montana State University

10. Byrd, Roy Neal. A multivariate runs statistic.

Degree: PhD, College of Letters & Science, 1971, Montana State University

URL: https://scholarworks.montana.edu/xmlui/handle/1/4165

Subjects/Keywords: Multivariate analysis.

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APA (6^th Edition):

Byrd, R. N. (1971). A multivariate runs statistic. (Doctoral Dissertation). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/4165

Chicago Manual of Style (16^th Edition):

Byrd, Roy Neal. “A multivariate runs statistic.” 1971. Doctoral Dissertation, Montana State University. Accessed February 26, 2021. https://scholarworks.montana.edu/xmlui/handle/1/4165.

MLA Handbook (7^th Edition):

Byrd, Roy Neal. “A multivariate runs statistic.” 1971. Web. 26 Feb 2021.

Vancouver:

Byrd RN. A multivariate runs statistic. [Internet] [Doctoral dissertation]. Montana State University; 1971. [cited 2021 Feb 26]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/4165.

Council of Science Editors:

Byrd RN. A multivariate runs statistic. [Doctoral Dissertation]. Montana State University; 1971. Available from: https://scholarworks.montana.edu/xmlui/handle/1/4165

Montana State University

11. Todd, Charles Steven. Analyzing repeated measures by employing mixed model/factor analytic hybrid estimators of the covariance matrix.

Degree: PhD, College of Letters & Science, 1995, Montana State University

URL: https://scholarworks.montana.edu/xmlui/handle/1/7412

Subjects/Keywords: Multivariate analysis.

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APA (6^th Edition):

Todd, C. S. (1995). Analyzing repeated measures by employing mixed model/factor analytic hybrid estimators of the covariance matrix. (Doctoral Dissertation). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/7412

Chicago Manual of Style (16^th Edition):

Todd, Charles Steven. “Analyzing repeated measures by employing mixed model/factor analytic hybrid estimators of the covariance matrix.” 1995. Doctoral Dissertation, Montana State University. Accessed February 26, 2021. https://scholarworks.montana.edu/xmlui/handle/1/7412.

MLA Handbook (7^th Edition):

Todd, Charles Steven. “Analyzing repeated measures by employing mixed model/factor analytic hybrid estimators of the covariance matrix.” 1995. Web. 26 Feb 2021.

Vancouver:

Todd CS. Analyzing repeated measures by employing mixed model/factor analytic hybrid estimators of the covariance matrix. [Internet] [Doctoral dissertation]. Montana State University; 1995. [cited 2021 Feb 26]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/7412.

Council of Science Editors:

Todd CS. Analyzing repeated measures by employing mixed model/factor analytic hybrid estimators of the covariance matrix. [Doctoral Dissertation]. Montana State University; 1995. Available from: https://scholarworks.montana.edu/xmlui/handle/1/7412

Texas Tech University

12. Tubbs, Jackie Dale. On estimation and testing in the generalized multivariate linear model.

Degree: Mathematics, 1974, Texas Tech University

URL: http://hdl.handle.net/2346/14410

► This dissertation is concerned with two areas in statistics, namely, estimation of the unknown parameter matrix and testing the general linear hypothesis in two multivariate… (more)

Subjects/Keywords: Multivariate analysis

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APA (6^th Edition):

Tubbs, J. D. (1974). On estimation and testing in the generalized multivariate linear model. (Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/14410

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Tubbs, Jackie Dale. “On estimation and testing in the generalized multivariate linear model.” 1974. Thesis, Texas Tech University. Accessed February 26, 2021. http://hdl.handle.net/2346/14410.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Tubbs, Jackie Dale. “On estimation and testing in the generalized multivariate linear model.” 1974. Web. 26 Feb 2021.

Vancouver:

Tubbs JD. On estimation and testing in the generalized multivariate linear model. [Internet] [Thesis]. Texas Tech University; 1974. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/2346/14410.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tubbs JD. On estimation and testing in the generalized multivariate linear model. [Thesis]. Texas Tech University; 1974. Available from: http://hdl.handle.net/2346/14410

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Hong Kong

13. 鄧明基. Assessment of influence in multivariate regression.

Degree: 1998, University of Hong Kong

URL: http://hdl.handle.net/10722/34020

Subjects/Keywords: Multivariate analysis.

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APA (6^th Edition):

鄧明基. (1998). Assessment of influence in multivariate regression. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/34020

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

鄧明基. “Assessment of influence in multivariate regression.” 1998. Thesis, University of Hong Kong. Accessed February 26, 2021. http://hdl.handle.net/10722/34020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

鄧明基. “Assessment of influence in multivariate regression.” 1998. Web. 26 Feb 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

鄧明基. Assessment of influence in multivariate regression. [Internet] [Thesis]. University of Hong Kong; 1998. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10722/34020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

鄧明基. Assessment of influence in multivariate regression. [Thesis]. University of Hong Kong; 1998. Available from: http://hdl.handle.net/10722/34020

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

University of Hong Kong

14. Ho, Chi-hing. The statistical analysis of multivariate counts.

Degree: 1991, University of Hong Kong

URL: http://hdl.handle.net/10722/35090

Subjects/Keywords: Multivariate analysis.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ho, C. (1991). The statistical analysis of multivariate counts. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/35090

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ho, Chi-hing. “The statistical analysis of multivariate counts.” 1991. Thesis, University of Hong Kong. Accessed February 26, 2021. http://hdl.handle.net/10722/35090.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ho, Chi-hing. “The statistical analysis of multivariate counts.” 1991. Web. 26 Feb 2021.

Vancouver:

Ho C. The statistical analysis of multivariate counts. [Internet] [Thesis]. University of Hong Kong; 1991. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10722/35090.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ho C. The statistical analysis of multivariate counts. [Thesis]. University of Hong Kong; 1991. Available from: http://hdl.handle.net/10722/35090

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Michigan State University

15. Cao, Guanqun. Statistical inference for functional and longitudinal data.

Degree: 2012, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:713

►

Thesis Ph. D. Michigan State University. Statistics 2012.

Advances in modern technology have facilitated the collection of high-dimensional functional and low dimensional longitudinal data. For… (more)

▼

Thesis Ph. D. Michigan State University. Statistics 2012.

Advances in modern technology have facilitated the collection of high-dimensional functional and low dimensional longitudinal data. For these data, it is often of interest to describe the key signals of the data (mean functions, covariance functions, derivative functions, etc.). Functional data analysis (FDA) and longitudinal data analysis (LDA) techniques have played a central role in the analysis of these data.The primary goal of this dissertation is to provide some novel statistical inference methods for FDA and LDA.In Chapter 1, we describe the structure (design, notations, etc.) of functional data and describe the spline smoothing technique asa tool to analysis these data. Longitudinal data analysis with missing not at random response is also discussed.In Chapter 2, a polynomial spline estimator is proposed for the mean function of dense functional data together with a simultaneous confidence band which is asymptotically correct. In addition, the spline estimator and its accompanying confidence band enjoy semiparametric efficiency in the sense that they are asymptotically the same as if all random trajectories are observed entirely and without errors. The confidence band is also extended to the difference of mean functions of two populations of functional data. Simulation experiments provide strong evidence that corroborates the asymptotic theory while computing is efficient. The confidence band procedure is illustrated by analyzing the near infrared spectroscopy data.A nonparametric estimation of the covariance function for densefunctional data using tensor product B-splines is considered in Chapter 3. We develop both local and global asymptotic distributions for the proposed estimator, and show that our estimator is as efficient as an ``oracle'' estimator. Monte Carlo simulation experiments and two real data examples are also provided to illustrate theproposed method in this chapter.In Chapter 4, we develop a new procedure to construct simultaneous confidence bands for derivatives of mean curves in FDA. The technique involves polynomial splines that provide an approximation to the derivatives of the mean functions, the covariance functions and the associated eigenfunctions. The confidence band procedure is illustrated through numerical simulation studies and a real life example.In Chapter 5, we consider data generated from a longitudinal study with potentially non random missing data. For these data, a joint model for the missing data process and the outcome process, is found to beat best weakly identifiable. Due to this identifiability concerns, tests concerning the parameters of interest may not be able to use conventional theories and it may not be clear how to assess statistical significance. We extend the literature by developing a testing procedure that can be used to evaluate hypotheses under non and weakly identifiable semiparametric models. We derive the limiting distribution of this statistic and propose theoretically justified resampling…

Advisors/Committee Members: Yang, Lijian, Todem, David, Koul, Hira, Wang, Lifeng.

Subjects/Keywords: Multivariate analysis; Longitudinal method; Statistics

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APA (6^th Edition):

Cao, G. (2012). Statistical inference for functional and longitudinal data. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:713

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Cao, Guanqun. “Statistical inference for functional and longitudinal data.” 2012. Thesis, Michigan State University. Accessed February 26, 2021. http://etd.lib.msu.edu/islandora/object/etd:713.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Cao, Guanqun. “Statistical inference for functional and longitudinal data.” 2012. Web. 26 Feb 2021.

Vancouver:

Cao G. Statistical inference for functional and longitudinal data. [Internet] [Thesis]. Michigan State University; 2012. [cited 2021 Feb 26]. Available from: http://etd.lib.msu.edu/islandora/object/etd:713.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cao G. Statistical inference for functional and longitudinal data. [Thesis]. Michigan State University; 2012. Available from: http://etd.lib.msu.edu/islandora/object/etd:713

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Rutgers University

16. Wang, Yifan, 1989-. Using multivariate analysis for pharmaceutical drug product development.

Degree: PhD, Chemical and Biochemical Engineering, 2016, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/51493/

►

Manufacturing of pharmaceutical products has a prominent role in the healthcare industry. Generally, the ultimate aim of pharmaceutical development is to release to the market… (more)

▼

Manufacturing of pharmaceutical products has a prominent role in the healthcare industry. Generally, the ultimate aim of pharmaceutical development is to release to the market products with acceptable quality. As advanced pharmaceutical manufacturing technologies such as continuous tablet manufacturing, are developed and embraced, it is essential to adopt a scientific, risk-based, and proactive approach for pharmaceutical development. The work presented in this dissertation focuses on using multivariate analysis tools to establish a predictive capability for pharmaceutical process and product development, especially when the amount of materials available is limited. Importantly, the methodologies developed in this dissertation can be applied easily to powder handling and processing in a wider range of industries, such as cosmetic, catalyst, chemical, petrochemical, and food. In this work, methods for analyzing flow properties of raw materials and predict process performance were developed. A method to analyze shear cell data of powders measured under different initial consolidation stresses was introduced. The method was shown to reduce significantly the complexity of shear cell data, and to enabled comparison of materials measured under different initial consolidation stresses. In addition, a predictive correlation between material flow properties and feeder performance was developed. By using multivariate models, the feeding performance of a material with given flow properties can be predicted and quantified. Using a quality-by-design approach, the cohesion of a powder mixture can be predicted based on the concentration of each ingredient. The prediction model was further supplemented by a study investigating two mixing systems. Using statistical analysis, the effect of lubrication on blend flow properties was discussed. By quantifying the correlations between different flow property measurements, mixing systems that have different mixing mechanism were compared. Disadvantages of widely used dissolution comparison methods were addressed. Statistically reliable methodologies to analyze, compare, and predict drug in vitro release profiles were proposed. The proposed methods were shown to be able to consider the self-correlated intrinsic nature of dissolution profiles, and to use within-group variability to estimate the reliability of observations. Additionally, the work presented a case study to improve real-time release testing for advanced tablet manufacturing processes by achieving predictive capability for nondestructive dissolution testing. Using hierarchical multivariate analysis, the validated prediction models were able to predict dissolution profile of an individual tablet based on its NIR spectrum.

Advisors/Committee Members: Muzzio, Fernando J (chair), Glasser, Benjamin J (co-chair), Drazer, German (internal member), Snee, Ronald D. (outside member).

Subjects/Keywords: Drug development; Multivariate analysis

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APA (6^th Edition):

Wang, Yifan, 1. (2016). Using multivariate analysis for pharmaceutical drug product development. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/51493/

Chicago Manual of Style (16^th Edition):

Wang, Yifan, 1989-. “Using multivariate analysis for pharmaceutical drug product development.” 2016. Doctoral Dissertation, Rutgers University. Accessed February 26, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/51493/.

MLA Handbook (7^th Edition):

Wang, Yifan, 1989-. “Using multivariate analysis for pharmaceutical drug product development.” 2016. Web. 26 Feb 2021.

Vancouver:

Wang, Yifan 1. Using multivariate analysis for pharmaceutical drug product development. [Internet] [Doctoral dissertation]. Rutgers University; 2016. [cited 2021 Feb 26]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/51493/.

Council of Science Editors:

Wang, Yifan 1. Using multivariate analysis for pharmaceutical drug product development. [Doctoral Dissertation]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/51493/

McMaster University

17. Pichika, Sathish chandra. Sparse Canonical Correlation Analysis (SCCA): A Comparative Study.

Degree: MSc, 2011, McMaster University

URL: http://hdl.handle.net/11375/11779

►

Canonical Correlation Analysis (CCA) is one of the multivariate statistical methods that can be used to find relationship between two sets of variables. I… (more)

Subjects/Keywords: CCA; SCCA; High-Dimensional; Multivariate Analysis; Multivariate Analysis

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APA (6^th Edition):

Pichika, S. c. (2011). Sparse Canonical Correlation Analysis (SCCA): A Comparative Study. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/11779

Chicago Manual of Style (16^th Edition):

Pichika, Sathish chandra. “Sparse Canonical Correlation Analysis (SCCA): A Comparative Study.” 2011. Masters Thesis, McMaster University. Accessed February 26, 2021. http://hdl.handle.net/11375/11779.

MLA Handbook (7^th Edition):

Pichika, Sathish chandra. “Sparse Canonical Correlation Analysis (SCCA): A Comparative Study.” 2011. Web. 26 Feb 2021.

Vancouver:

Pichika Sc. Sparse Canonical Correlation Analysis (SCCA): A Comparative Study. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/11375/11779.

Council of Science Editors:

Pichika Sc. Sparse Canonical Correlation Analysis (SCCA): A Comparative Study. [Masters Thesis]. McMaster University; 2011. Available from: http://hdl.handle.net/11375/11779

Michigan Technological University

18. Gerhardt, Michael J. Gamma/Hadron Separation for the HAWC Observatory.

Degree: MS, Department of Physics, 2017, Michigan Technological University

URL: https://digitalcommons.mtu.edu/etdr/427

► The High-Altitude Water Cherenkov (HAWC) Observatory is a gamma-ray observatory sensitive to gamma rays from 100 GeV to 100 TeV with an instantaneous field… (more)

Subjects/Keywords: Astrophysics; Multivariate Analysis; Extensive Air Showers; Multivariate Analysis; Other Physics

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APA (6^th Edition):

Gerhardt, M. J. (2017). Gamma/Hadron Separation for the HAWC Observatory. (Masters Thesis). Michigan Technological University. Retrieved from https://digitalcommons.mtu.edu/etdr/427

Chicago Manual of Style (16^th Edition):

Gerhardt, Michael J. “Gamma/Hadron Separation for the HAWC Observatory.” 2017. Masters Thesis, Michigan Technological University. Accessed February 26, 2021. https://digitalcommons.mtu.edu/etdr/427.

MLA Handbook (7^th Edition):

Gerhardt, Michael J. “Gamma/Hadron Separation for the HAWC Observatory.” 2017. Web. 26 Feb 2021.

Vancouver:

Gerhardt MJ. Gamma/Hadron Separation for the HAWC Observatory. [Internet] [Masters thesis]. Michigan Technological University; 2017. [cited 2021 Feb 26]. Available from: https://digitalcommons.mtu.edu/etdr/427.

Council of Science Editors:

Gerhardt MJ. Gamma/Hadron Separation for the HAWC Observatory. [Masters Thesis]. Michigan Technological University; 2017. Available from: https://digitalcommons.mtu.edu/etdr/427

Universidade do Minho

19. Costa, Christopher Borges. Development of an integrated computational platform for metabolomics data analysis and knowledge extraction .

Degree: 2014, Universidade do Minho

URL: http://hdl.handle.net/1822/36620

► In the last few years, biological and biomedical research has been generating a large amount of quantitative data, given the surge of high-throughput techniques that… (more)

▼ In the last few years, biological and biomedical research has been generating a large amount of quantitative data, given the surge of high-throughput techniques that are able to quantify different types of molecules in the cell. While transcriptomics and proteomics, which measure gene expression and amounts of proteins respectively, are the most mature, metabolomics, the quantification of small compounds, has been emerging in the last years as an advantageous alternative in many applications. As it happens with other omics data, metabolomics brings important challenges regarding the capability of extracting relevant knowledge from typically large amounts of data. To respond to these challenges, an integrated computational platform for metabolomics data analysis and knowledge extraction was created to facilitate the use of several methods of visualization, data analysis and data mining. In the first stage of the project, a state of the art analysis was conducted to assess the existing methods and computational tools in the field and what was missing or was difficult to use for a common user without computational expertise. This step helped to figure out which strategies to adopt and the main functionalities which were important to develop in the software. As a supporting framework, R was chosen given the easiness of creating and documenting data analysis scripts and the possibility of developing new packages adding new functions, while taking advantage of the numerous resources created by the vibrant R community. So, the next step was to develop an R package with an integrated set of functions that would allow to conduct a metabolomics data analysis pipeline, with reduced effort, allowing to explore the data, apply different data analysis methods and visualize their results, in this way supporting the extraction of relevant knowledge from metabolomics data. Regarding data analysis, the package includes functions for data loading from different formats and pre-processing, as well as different methods for univariate and multivariate data analysis, including t-tests, analysis of variance, correlations, principal component analysis and clustering. Also, it includes a large set of methods for machine learning with distinct models for classification and regression, as well as feature selection methods. The package supports the analysis of metabolomics data from infrared, ultra violet visible and nuclear magnetic resonance spectroscopies. The package has been validated on real examples, considering three case studies, including the analysis of data from natural products including bees propolis and cassava, as well as metabolomics data from cancer patients. Each of these data were analyzed using the developed package with different pipelines of analysis and HTML reports that include both analysis scripts and their results, were generated using the documentation features provided by the package. Advisors/Committee Members: Rocha, Miguel (advisor), Maraschin, Marcelo (advisor).

Subjects/Keywords: Metabolomics; Machine learning; Univariate analysis; Multivariate analysis

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APA (6^th Edition):

Costa, C. B. (2014). Development of an integrated computational platform for metabolomics data analysis and knowledge extraction . (Masters Thesis). Universidade do Minho. Retrieved from http://hdl.handle.net/1822/36620

Chicago Manual of Style (16^th Edition):

Costa, Christopher Borges. “Development of an integrated computational platform for metabolomics data analysis and knowledge extraction .” 2014. Masters Thesis, Universidade do Minho. Accessed February 26, 2021. http://hdl.handle.net/1822/36620.

MLA Handbook (7^th Edition):

Costa, Christopher Borges. “Development of an integrated computational platform for metabolomics data analysis and knowledge extraction .” 2014. Web. 26 Feb 2021.

Vancouver:

Costa CB. Development of an integrated computational platform for metabolomics data analysis and knowledge extraction . [Internet] [Masters thesis]. Universidade do Minho; 2014. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1822/36620.

Council of Science Editors:

Costa CB. Development of an integrated computational platform for metabolomics data analysis and knowledge extraction . [Masters Thesis]. Universidade do Minho; 2014. Available from: http://hdl.handle.net/1822/36620

Hong Kong University of Science and Technology

20. Liu, Tengfei. Accelerated learning of latent tree models for topic detection and multidimensional clustering.

Degree: 2015, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-74522 ; https://doi.org/10.14711/thesis-b1477729 ; http://repository.ust.hk/ir/bitstream/1783.1-74522/1/th_redirect.html

► Latent tree models (LTMs) are tree-structured probabilistic graphical models where the variables at leaf nodes are observed and the variables at internal nodes are latent.… (more)

▼ Latent tree models (LTMs) are tree-structured probabilistic graphical models where the variables at leaf nodes are observed and the variables at internal nodes are latent. They represent complex relationships among observed variables and yet are computationally simple to work with. When used for data analysis, they can identify meaningful groupings of observed variables, where the correlations among the variables in each group can be modeled by a single latent variable. As such, LTMs are effective tools for detecting correlation patterns in data and can be applied to various domains. In this thesis, we focus on developing new algorithms for learning latent tree models and investigating their use in two applications. Firstly, we propose a new method called Bridged-Islands (BI) algorithm for learning latent tree models. Many algorithms have been proposed for the same task. However, previous methods for learning latent tree models have their limitations. For example, the search algorithms can only handle data sets with dozens of attributes which limits their use in processing large data set. The algorithms based on attribute clustering (AC) usually focus on latent tree models with special structures (e.g., binary trees or forests) which may be not appropriate for many real world applications. The algorithms motivated by phylogenetic tree reconstruction (PTR) have restrictions on both observed and latent variables. They normally require that all observed or latent variables have the same number of states and the number should be known beforehand. Compared with AC-based algorithms and PTR-motivated algorithms, the advantage of BI algorithm is model quality. It produces models with better quality and has no restrictions on the cardinalities of the observed variables or latent variables. Compared with search algorithms, BI is more efficient and can be employed in larger data sets. Secondly, we propose a new LTM-based algorithm called hierarchical latent tree analysis (HLTA) for identifying topics from a collection of documents. The predominant method for topic detection is latent Dirichlet allocation (LDA) (Blei et al., 2003), which assumes a generating process for the documents. HLTA provides an alternative view for topic detection. It identifies the topics by simultaneously clustering the documents and word variables. In this new view, a topic is considered as a class of documents that show clear thematic meaning. The new method models the word co-occurrence patterns by using a hierarchical latent tree model. Each latent variable represents a soft partition of the documents based on some word co-occurrence patterns. Each state of the latent variable, which represents a cluster of documents in the partition, is interpreted as a topic. In the hierarchical structure, the variables at a higher level correspond to more general topics, while the variables at a lower level correspond to more specific topics. Compared with alternative methods, HLTA integrates topic correlation modeling, topic structure detection and automatic…

Subjects/Keywords: Latent structure analysis ; Latent variables ; Multivariate analysis

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APA (6^th Edition):

Liu, T. (2015). Accelerated learning of latent tree models for topic detection and multidimensional clustering. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-74522 ; https://doi.org/10.14711/thesis-b1477729 ; http://repository.ust.hk/ir/bitstream/1783.1-74522/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Liu, Tengfei. “Accelerated learning of latent tree models for topic detection and multidimensional clustering.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed February 26, 2021. http://repository.ust.hk/ir/Record/1783.1-74522 ; https://doi.org/10.14711/thesis-b1477729 ; http://repository.ust.hk/ir/bitstream/1783.1-74522/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Liu, Tengfei. “Accelerated learning of latent tree models for topic detection and multidimensional clustering.” 2015. Web. 26 Feb 2021.

Vancouver:

Liu T. Accelerated learning of latent tree models for topic detection and multidimensional clustering. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2021 Feb 26]. Available from: http://repository.ust.hk/ir/Record/1783.1-74522 ; https://doi.org/10.14711/thesis-b1477729 ; http://repository.ust.hk/ir/bitstream/1783.1-74522/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu T. Accelerated learning of latent tree models for topic detection and multidimensional clustering. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: http://repository.ust.hk/ir/Record/1783.1-74522 ; https://doi.org/10.14711/thesis-b1477729 ; http://repository.ust.hk/ir/bitstream/1783.1-74522/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

21. Molstad, Aaron. Model-based methods for high-dimensional multivariate analysis.

Degree: PhD, Statistics, 2017, University of Minnesota

URL: http://hdl.handle.net/11299/188924

► This thesis consists of three main parts. In the first part, we propose a penalized likelihood method to fit the linear discriminant analysis model when… (more)

▼ This thesis consists of three main parts. In the first part, we propose a penalized likelihood method to fit the linear discriminant analysis model when the predictor is matrix valued. We simultaneously estimate the means and the precision matrix, which we assume has a Kronecker product decomposition. Our penalties encourage pairs of response category mean matrix estimators to have equal entries and also encourage zeros in the precision matrix estimator. To compute our estimators, we use a blockwise coordinate descent algorithm. To update the optimization variables corresponding to response category mean matrices, we use an alternating minimization algorithm that takes advantage of the Kronecker structure of the precision matrix. We show that our method can outperform relevant competitors in classification, even when our modeling assumptions are violated. We analyze an EEG dataset to demonstrate our method's interpretability and classification accuracy. In the second part, we propose a class of estimators of the multivariate response linear regression coefficient matrix that exploits the assumption that the response and predictors have a joint multivariate normal distribution. This allows us to indirectly estimate the regression coefficient matrix through shrinkage estimation of the parameters of the inverse regression, or the conditional distribution of the predictors given the responses. We establish a convergence rate bound for estimators in our class and we study two examples, which respectively assume that the inverse regression's coefficient matrix is sparse and rank deficient. These estimators do not require that the forward regression coefficient matrix is sparse or has small Frobenius norm. Using simulation studies, we show that our estimators outperform competitors. In the final part of this thesis, we propose a framework to shrink a user-specified characteristic of a precision matrix estimator that is needed to fit a predictive model. Estimators in our framework minimize the Gaussian negative log-likelihood plus an L1 penalty on a linear or affine function evaluated at the optimization variable corresponding to the precision matrix. We establish convergence rate bounds for these estimators and we propose an alternating direction method of multipliers algorithm for their computation. Our simulation studies show that our estimators can perform better than competitors when they are used to fit predictive models. In particular, we illustrate cases where our precision matrix estimators perform worse at estimating the population precision matrix while performing better at prediction.

Subjects/Keywords: Classification; Multivariate analysis; Multivariate response regression; Optimization; Precision matrix estimation

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APA (6^th Edition):

Molstad, A. (2017). Model-based methods for high-dimensional multivariate analysis. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/188924

Chicago Manual of Style (16^th Edition):

Molstad, Aaron. “Model-based methods for high-dimensional multivariate analysis.” 2017. Doctoral Dissertation, University of Minnesota. Accessed February 26, 2021. http://hdl.handle.net/11299/188924.

MLA Handbook (7^th Edition):

Molstad, Aaron. “Model-based methods for high-dimensional multivariate analysis.” 2017. Web. 26 Feb 2021.

Vancouver:

Molstad A. Model-based methods for high-dimensional multivariate analysis. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/11299/188924.

Council of Science Editors:

Molstad A. Model-based methods for high-dimensional multivariate analysis. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/188924

University of Pretoria

22. Ehlers, Rene. Maximum likelihood estimation procedures for categorical data .

Degree: 2005, University of Pretoria

URL: http://upetd.up.ac.za/thesis/available/etd-07222005-124541/

Please read the abstract in the section, 00front, of this document Advisors/Committee Members: Crowther, N.A.S. (Nicolaas Andries Sadie),.

Subjects/Keywords: Multivariate analysis; UCTD

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APA (6^th Edition):

Ehlers, R. (2005). Maximum likelihood estimation procedures for categorical data . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-07222005-124541/

Chicago Manual of Style (16^th Edition):

Ehlers, Rene. “Maximum likelihood estimation procedures for categorical data .” 2005. Masters Thesis, University of Pretoria. Accessed February 26, 2021. http://upetd.up.ac.za/thesis/available/etd-07222005-124541/.

MLA Handbook (7^th Edition):

Ehlers, Rene. “Maximum likelihood estimation procedures for categorical data .” 2005. Web. 26 Feb 2021.

Vancouver:

Ehlers R. Maximum likelihood estimation procedures for categorical data . [Internet] [Masters thesis]. University of Pretoria; 2005. [cited 2021 Feb 26]. Available from: http://upetd.up.ac.za/thesis/available/etd-07222005-124541/.

Council of Science Editors:

Ehlers R. Maximum likelihood estimation procedures for categorical data . [Masters Thesis]. University of Pretoria; 2005. Available from: http://upetd.up.ac.za/thesis/available/etd-07222005-124541/

23. 永久, 景那. An examination of the cumulative survival rate of narrow-diameter dental implants in the mandibular molar region: a retrospective cohort study : 下顎大臼歯部における細径インプラント累積残存率の検討：後ろ向きコホート研究.

Degree: 博士（歯学）, 2018, Osaka Dental University / 大阪歯科大学

URL: http://id.nii.ac.jp/1392/00000160/

►

Introduction: Few reports have investigated narrow-diameter implant survival in the molar region. Objective: The aim of this study was to compare the survival rates of… (more)

Subjects/Keywords: narrow diameter｜multivariate analysis｜dental implant｜failure

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APA (6^th Edition):

永久, �. (2018). An examination of the cumulative survival rate of narrow-diameter dental implants in the mandibular molar region: a retrospective cohort study : 下顎大臼歯部における細径インプラント累積残存率の検討：後ろ向きコホート研究. (Thesis). Osaka Dental University / 大阪歯科大学. Retrieved from http://id.nii.ac.jp/1392/00000160/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

永久, 景那. “An examination of the cumulative survival rate of narrow-diameter dental implants in the mandibular molar region: a retrospective cohort study : 下顎大臼歯部における細径インプラント累積残存率の検討：後ろ向きコホート研究.” 2018. Thesis, Osaka Dental University / 大阪歯科大学. Accessed February 26, 2021. http://id.nii.ac.jp/1392/00000160/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

永久, 景那. “An examination of the cumulative survival rate of narrow-diameter dental implants in the mandibular molar region: a retrospective cohort study : 下顎大臼歯部における細径インプラント累積残存率の検討：後ろ向きコホート研究.” 2018. Web. 26 Feb 2021.

Vancouver:

永久 �. An examination of the cumulative survival rate of narrow-diameter dental implants in the mandibular molar region: a retrospective cohort study : 下顎大臼歯部における細径インプラント累積残存率の検討：後ろ向きコホート研究. [Internet] [Thesis]. Osaka Dental University / 大阪歯科大学; 2018. [cited 2021 Feb 26]. Available from: http://id.nii.ac.jp/1392/00000160/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

永久 �. An examination of the cumulative survival rate of narrow-diameter dental implants in the mandibular molar region: a retrospective cohort study : 下顎大臼歯部における細径インプラント累積残存率の検討：後ろ向きコホート研究. [Thesis]. Osaka Dental University / 大阪歯科大学; 2018. Available from: http://id.nii.ac.jp/1392/00000160/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

24. Gaynanova, Irina. Estimation Of Sparse Low-Dimensional Linear Projections.

Degree: PhD, Statistics, 2015, Cornell University

URL: http://hdl.handle.net/1813/40643

► Many multivariate analysis problems are unified under the framework of linear projections. These projections can be tailored towards the analysis of variance (principal components), classification… (more)

Subjects/Keywords: multivariate analysis; high-dimensional statistics; classification

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APA (6^th Edition):

Gaynanova, I. (2015). Estimation Of Sparse Low-Dimensional Linear Projections. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/40643

Chicago Manual of Style (16^th Edition):

Gaynanova, Irina. “Estimation Of Sparse Low-Dimensional Linear Projections.” 2015. Doctoral Dissertation, Cornell University. Accessed February 26, 2021. http://hdl.handle.net/1813/40643.

MLA Handbook (7^th Edition):

Gaynanova, Irina. “Estimation Of Sparse Low-Dimensional Linear Projections.” 2015. Web. 26 Feb 2021.

Vancouver:

Gaynanova I. Estimation Of Sparse Low-Dimensional Linear Projections. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1813/40643.

Council of Science Editors:

Gaynanova I. Estimation Of Sparse Low-Dimensional Linear Projections. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/40643

25. Nineberg, Jared. Geographic analysis of single family home foreclosures in the San Fernando Valley, California.

Degree: MA, Geography and Environmental Studies, 2013, California State University – Northridge

URL: http://hdl.handle.net/10211.2/3625

► This study examines the geographic variation of foreclosures rates for communities within the San Fernando Valley from 2004-2008. Three SFV communities, each representative of a… (more)

Subjects/Keywords: multivariate analysis; Dissertations, Academic – CSUN – Geography.

10 more images…

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APA (6^th Edition):

Nineberg, J. (2013). Geographic analysis of single family home foreclosures in the San Fernando Valley, California. (Masters Thesis). California State University – Northridge. Retrieved from http://hdl.handle.net/10211.2/3625

Chicago Manual of Style (16^th Edition):

Nineberg, Jared. “Geographic analysis of single family home foreclosures in the San Fernando Valley, California.” 2013. Masters Thesis, California State University – Northridge. Accessed February 26, 2021. http://hdl.handle.net/10211.2/3625.

MLA Handbook (7^th Edition):

Nineberg, Jared. “Geographic analysis of single family home foreclosures in the San Fernando Valley, California.” 2013. Web. 26 Feb 2021.

Vancouver:

Nineberg J. Geographic analysis of single family home foreclosures in the San Fernando Valley, California. [Internet] [Masters thesis]. California State University – Northridge; 2013. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10211.2/3625.

Council of Science Editors:

Nineberg J. Geographic analysis of single family home foreclosures in the San Fernando Valley, California. [Masters Thesis]. California State University – Northridge; 2013. Available from: http://hdl.handle.net/10211.2/3625

26. Shah, Parag B. Spme problems related to multivariate analysis; -.

Degree: Statistics, 2015, Gujarat University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/35127

None newline

-

Advisors/Committee Members: Bhavsar, C D.

Subjects/Keywords: multivariate analysis; problems

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APA (6^th Edition):

Shah, P. B. (2015). Spme problems related to multivariate analysis; -. (Thesis). Gujarat University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/35127

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Shah, Parag B. “Spme problems related to multivariate analysis; -.” 2015. Thesis, Gujarat University. Accessed February 26, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/35127.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Shah, Parag B. “Spme problems related to multivariate analysis; -.” 2015. Web. 26 Feb 2021.

Vancouver:

Shah PB. Spme problems related to multivariate analysis; -. [Internet] [Thesis]. Gujarat University; 2015. [cited 2021 Feb 26]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35127.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shah PB. Spme problems related to multivariate analysis; -. [Thesis]. Gujarat University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35127

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Stellenbosch University

27. Gao, Yu. Parameters involved in the enzymatic deconstruction of the Wine Grape cell wall matrix during winemaking.

Degree: PhD, 2016, Stellenbosch University

URL: http://hdl.handle.net/10019.1/98298

► ENGLISH ABSTRACT: Commercial enzyme preparations, consisting of pectinases and glucanases, are commonly used in the wine industry to; (1) enhance the extraction of beneficial compounds… (more)

▼ ENGLISH ABSTRACT: Commercial enzyme preparations, consisting of pectinases and glucanases, are commonly used in the wine industry to; (1) enhance the extraction of beneficial compounds (e.g. anthocyanins, tannins, aroma etc.) from the grape berry, (2) to facilitate the clarification of the wine before the filtration, and (3) to maximize juice yield for alcoholic fermentation. All three factors are important in improving quality parameters (e.g. body, aroma, ageing potential) and market value for winemakers. The efficacy of any enzymes, including wine enzymes is dependent on their ability to target specific glycan linkages for catalysis, and thereby deconstruct polymeric architecture. However, in the case of grapes, very little information is known on grape berry cell walls, that can assist in a rational enzyme mixture design strategy for customizable applications (e.g. enhanced colour). This is partly due to the complex nature of fruit cell walls, factors such as grape maturity, inter‐vineyard variability in ripeness levels at harvest, potential cultivar differences and the crude nature of enzyme mixtures used by the wine industry. New tools are needed to understand cell wall architecture, and here the use of Carbohydrate Microarray Polymer Profiling (CoMPP) technology, which combines glycan microarrays with sets of characterised monoclonal antibodies (mAbs) and carbohydrate binding modules (CBMs) for plant cell wall polymer epitopes detection. CoMPP is extensively used with multivariate data analysis methods in this thesis to evaluate the complex nature of the grape cell walls and how enzymes are able to deconstruct them under winemaking conditions. This study consists of three parts focusing on a Cabernet Sauvignon vineyard: (1) The validation of cell wall profiling tools combined with fractionation approaches on berry pomace cell walls isolated from wine fermentations. This is to confirm the utility of the approach in the winemaking conditions, and provide a baseline reference dataset for later studies. The study revealed for that grape pomace consists of two main fractions: (i) a partially methyl‐esterified pectin‐rich outer layer and (ii) a highly methyl‐esterified pectin‐rich layer which ‘coats’ an inner layer of xyloglucan‐cellulose rich skin cells. (2) A study focusing on the inter‐vineyard variation of grape berry cell walls collected at harvest using a panel based sampling design. This was combined with how commercial enzyme preparations influenced the potential inter‐vineyard variation in harvested grape cell walls that were brought into the winemaking process. Here the study showed that the enzymes performed efficient de‐pectination, without de‐esterification, and significantly reduced cell wall variability in pomace and wines from treated panels. (3) In order to study the grape berry cell wall deconstruction process in more detail, the use of pure recombinant enzymes (singly and in combinations), were used in an extensive winemaking study for the first time that we are… Advisors/Committee Members: Moore, John Paul, Vivier, Melane, Stellenbosch University. Faculty of AgriSciences. Institute for Wine Biotechnology..

Subjects/Keywords: cell wall; grape winemaking; multivariate data analysis

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APA (6^th Edition):

Gao, Y. (2016). Parameters involved in the enzymatic deconstruction of the Wine Grape cell wall matrix during winemaking. (Doctoral Dissertation). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/98298

Chicago Manual of Style (16^th Edition):

Gao, Yu. “Parameters involved in the enzymatic deconstruction of the Wine Grape cell wall matrix during winemaking.” 2016. Doctoral Dissertation, Stellenbosch University. Accessed February 26, 2021. http://hdl.handle.net/10019.1/98298.

MLA Handbook (7^th Edition):

Gao, Yu. “Parameters involved in the enzymatic deconstruction of the Wine Grape cell wall matrix during winemaking.” 2016. Web. 26 Feb 2021.

Vancouver:

Gao Y. Parameters involved in the enzymatic deconstruction of the Wine Grape cell wall matrix during winemaking. [Internet] [Doctoral dissertation]. Stellenbosch University; 2016. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10019.1/98298.

Council of Science Editors:

Gao Y. Parameters involved in the enzymatic deconstruction of the Wine Grape cell wall matrix during winemaking. [Doctoral Dissertation]. Stellenbosch University; 2016. Available from: http://hdl.handle.net/10019.1/98298

Penn State University

28. Boyd, Devon Kylee. Using Multivariate Analysis to Select Accommodation Boundary Manikins from a Population Database.

Degree: 2015, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/25665

► Digital Human Models (DHMs) are a tool that can be used to aid in determining dimensions for human-centered designs. DHMs have the ability to represent… (more)

▼ Digital Human Models (DHMs) are a tool that can be used to aid in determining dimensions for human-centered designs. DHMs have the ability to represent the anthropometric extremes of the population and help to determine which dimensions should be used to accommodate a predefined portion of the population. In order to use DHMs within design, a subset must be determined that explains the needed variance within the target population. Current techniques such as principal component analysis (PCA), representative manikin families, and univariate analysis focus on identifying arbitrary dimensions fro the creation of manikin abstractions. A new approach for selecting mankind from an existing population is needed. The purpose of this research is to provide multivariate analyses that determines a subset of manikins representing the total target population when comparing up to eleven anthropometric dimensions of the manikins. This pool will act as boundary manikins for a given level of accommodation. The analysis when dealing with two or three possible variables is based on Pareto Optimization. Due to issues with this method being cumbersome, the analysis for four or more variables is based on the use of parallel coordinates. These methods are then made available through the use of a website application. Included within this research are case studies on the creation of groups of boundary manikins. A specific case study focuses on the importance of DHMs in design. This case study focus of the creation of a set of DHMs that can be used to aid students in the creation of competition race vehicles, such as the Formula SAE car. These methods, or tools, provide designers the opportunity to select manikins, or determine dimensions, from a predefined population dataset that meet their design needs. This selection was previously not possible for a multivariate problem. The tools allow designer to select their design manikins based on however many dimensions are important to their design. This selection will help designers to create a product that better accommodates their target population. Advisors/Committee Members: Matthew B Parkinson, Thesis Advisor/Co-Advisor.

Subjects/Keywords: Digital Human Models; Anthropometry; Multivariate Analysis

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APA (6^th Edition):

Boyd, D. K. (2015). Using Multivariate Analysis to Select Accommodation Boundary Manikins from a Population Database. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/25665

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Boyd, Devon Kylee. “Using Multivariate Analysis to Select Accommodation Boundary Manikins from a Population Database.” 2015. Thesis, Penn State University. Accessed February 26, 2021. https://submit-etda.libraries.psu.edu/catalog/25665.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Boyd, Devon Kylee. “Using Multivariate Analysis to Select Accommodation Boundary Manikins from a Population Database.” 2015. Web. 26 Feb 2021.

Vancouver:

Boyd DK. Using Multivariate Analysis to Select Accommodation Boundary Manikins from a Population Database. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Feb 26]. Available from: https://submit-etda.libraries.psu.edu/catalog/25665.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Boyd DK. Using Multivariate Analysis to Select Accommodation Boundary Manikins from a Population Database. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/25665

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Pretoria

29. Ehlers, Rene. Maximum likelihood estimation procedures for categorical data.

Degree: Mathematics and Applied Mathematics, 2005, University of Pretoria

URL: http://hdl.handle.net/2263/26533

Please read the abstract in the section, 00front, of this document Advisors/Committee Members: Crowther, N.A.S. (Nicolaas Andries Sadie),.

Subjects/Keywords: Multivariate analysis; UCTD

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APA (6^th Edition):

Ehlers, R. (2005). Maximum likelihood estimation procedures for categorical data. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/26533

Chicago Manual of Style (16^th Edition):

Ehlers, Rene. “Maximum likelihood estimation procedures for categorical data.” 2005. Masters Thesis, University of Pretoria. Accessed February 26, 2021. http://hdl.handle.net/2263/26533.

MLA Handbook (7^th Edition):

Ehlers, Rene. “Maximum likelihood estimation procedures for categorical data.” 2005. Web. 26 Feb 2021.

Vancouver:

Ehlers R. Maximum likelihood estimation procedures for categorical data. [Internet] [Masters thesis]. University of Pretoria; 2005. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/2263/26533.

Council of Science Editors:

Ehlers R. Maximum likelihood estimation procedures for categorical data. [Masters Thesis]. University of Pretoria; 2005. Available from: http://hdl.handle.net/2263/26533

30. Yamamori, Akihiro. Investigation of CCMQ-J system based on multivariate analysis : 日本語版中医体質調査票(CCMQ-J)のデータ駆動型解析; ニホンゴバンチュウイタイシツチョウサヒョウ (CCMQ-J) ノデータクドウガタカイセキ.

Degree: 博士(理学), 2017, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

URL: http://hdl.handle.net/10061/11690

Subjects/Keywords: multivariate statistical analysis

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APA (6^th Edition):

Yamamori, A. (2017). Investigation of CCMQ-J system based on multivariate analysis : 日本語版中医体質調査票(CCMQ-J)のデータ駆動型解析; ニホンゴバンチュウイタイシツチョウサヒョウ (CCMQ-J) ノデータクドウガタカイセキ. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/11690

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yamamori, Akihiro. “Investigation of CCMQ-J system based on multivariate analysis : 日本語版中医体質調査票(CCMQ-J)のデータ駆動型解析; ニホンゴバンチュウイタイシツチョウサヒョウ (CCMQ-J) ノデータクドウガタカイセキ.” 2017. Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed February 26, 2021. http://hdl.handle.net/10061/11690.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yamamori, Akihiro. “Investigation of CCMQ-J system based on multivariate analysis : 日本語版中医体質調査票(CCMQ-J)のデータ駆動型解析; ニホンゴバンチュウイタイシツチョウサヒョウ (CCMQ-J) ノデータクドウガタカイセキ.” 2017. Web. 26 Feb 2021.

Vancouver:

Yamamori A. Investigation of CCMQ-J system based on multivariate analysis : 日本語版中医体質調査票(CCMQ-J)のデータ駆動型解析; ニホンゴバンチュウイタイシツチョウサヒョウ (CCMQ-J) ノデータクドウガタカイセキ. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; 2017. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10061/11690.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yamamori A. Investigation of CCMQ-J system based on multivariate analysis : 日本語版中医体質調査票(CCMQ-J)のデータ駆動型解析; ニホンゴバンチュウイタイシツチョウサヒョウ (CCMQ-J) ノデータクドウガタカイセキ. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; 2017. Available from: http://hdl.handle.net/10061/11690

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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Open Access Theses and Dissertations