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You searched for subject:(Dimensional analysis). Showing records 1 – 30 of 592 total matches.

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Columbia University

1. Gao, Yuanjun. Statistical Machine Learning Methods for High-dimensional Neural Population Data Analysis.

Degree: 2017, Columbia University

 Advances in techniques have been producing increasingly complex neural recordings, posing significant challenges for data analysis. This thesis discusses novel statistical methods for analyzing high-dimensional(more)

Subjects/Keywords: Statistics; Neurosciences; Dimensional analysis

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APA (6th Edition):

Gao, Y. (2017). Statistical Machine Learning Methods for High-dimensional Neural Population Data Analysis. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8D2240V

Chicago Manual of Style (16th Edition):

Gao, Yuanjun. “Statistical Machine Learning Methods for High-dimensional Neural Population Data Analysis.” 2017. Doctoral Dissertation, Columbia University. Accessed April 10, 2021. https://doi.org/10.7916/D8D2240V.

MLA Handbook (7th Edition):

Gao, Yuanjun. “Statistical Machine Learning Methods for High-dimensional Neural Population Data Analysis.” 2017. Web. 10 Apr 2021.

Vancouver:

Gao Y. Statistical Machine Learning Methods for High-dimensional Neural Population Data Analysis. [Internet] [Doctoral dissertation]. Columbia University; 2017. [cited 2021 Apr 10]. Available from: https://doi.org/10.7916/D8D2240V.

Council of Science Editors:

Gao Y. Statistical Machine Learning Methods for High-dimensional Neural Population Data Analysis. [Doctoral Dissertation]. Columbia University; 2017. Available from: https://doi.org/10.7916/D8D2240V


Cornell University

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

Degree: PhD, Statistics, 2015, Cornell University

 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 (6th 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 (16th Edition):

Gaynanova, Irina. “Estimation Of Sparse Low-Dimensional Linear Projections.” 2015. Doctoral Dissertation, Cornell University. Accessed April 10, 2021. http://hdl.handle.net/1813/40643.

MLA Handbook (7th Edition):

Gaynanova, Irina. “Estimation Of Sparse Low-Dimensional Linear Projections.” 2015. Web. 10 Apr 2021.

Vancouver:

Gaynanova I. Estimation Of Sparse Low-Dimensional Linear Projections. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2021 Apr 10]. 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


University of Guelph

3. Connolly, Jessica. Assessing factors that influence position accuracy in a hydroacoustic telemetry system.

Degree: MS, Department of Mathematics and Statistics, 2012, University of Guelph

 Simulation modelling was used to quantify the accuracy of positions estimated in a three dimensional underwater environment. Time of arrival differences combined with multilateration methods… (more)

Subjects/Keywords: acoustic telemetry; factorial analysis; 3-dimensional errors

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APA (6th Edition):

Connolly, J. (2012). Assessing factors that influence position accuracy in a hydroacoustic telemetry system. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3961

Chicago Manual of Style (16th Edition):

Connolly, Jessica. “Assessing factors that influence position accuracy in a hydroacoustic telemetry system.” 2012. Masters Thesis, University of Guelph. Accessed April 10, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3961.

MLA Handbook (7th Edition):

Connolly, Jessica. “Assessing factors that influence position accuracy in a hydroacoustic telemetry system.” 2012. Web. 10 Apr 2021.

Vancouver:

Connolly J. Assessing factors that influence position accuracy in a hydroacoustic telemetry system. [Internet] [Masters thesis]. University of Guelph; 2012. [cited 2021 Apr 10]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3961.

Council of Science Editors:

Connolly J. Assessing factors that influence position accuracy in a hydroacoustic telemetry system. [Masters Thesis]. University of Guelph; 2012. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3961


Hong Kong University of Science and Technology

4. Mo, Shengyong. From one-time dimensional control to two-time dimensional hybrid control in batch processes.

Degree: 2013, Hong Kong University of Science and Technology

 Batch processes are the preferred choice for manufacturing high-value-added products. The control performances of key process variables are critical to the product quality and quality… (more)

Subjects/Keywords: Process control ; Dimensional analysis ; Data processing

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APA (6th Edition):

Mo, S. (2013). From one-time dimensional control to two-time dimensional hybrid control in batch processes. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-67007 ; https://doi.org/10.14711/thesis-b1213709 ; http://repository.ust.hk/ir/bitstream/1783.1-67007/1/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 (16th Edition):

Mo, Shengyong. “From one-time dimensional control to two-time dimensional hybrid control in batch processes.” 2013. Thesis, Hong Kong University of Science and Technology. Accessed April 10, 2021. http://repository.ust.hk/ir/Record/1783.1-67007 ; https://doi.org/10.14711/thesis-b1213709 ; http://repository.ust.hk/ir/bitstream/1783.1-67007/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Mo, Shengyong. “From one-time dimensional control to two-time dimensional hybrid control in batch processes.” 2013. Web. 10 Apr 2021.

Vancouver:

Mo S. From one-time dimensional control to two-time dimensional hybrid control in batch processes. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2013. [cited 2021 Apr 10]. Available from: http://repository.ust.hk/ir/Record/1783.1-67007 ; https://doi.org/10.14711/thesis-b1213709 ; http://repository.ust.hk/ir/bitstream/1783.1-67007/1/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:

Mo S. From one-time dimensional control to two-time dimensional hybrid control in batch processes. [Thesis]. Hong Kong University of Science and Technology; 2013. Available from: http://repository.ust.hk/ir/Record/1783.1-67007 ; https://doi.org/10.14711/thesis-b1213709 ; http://repository.ust.hk/ir/bitstream/1783.1-67007/1/th_redirect.html

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


University of Illinois – Urbana-Champaign

5. Zhang, Chao. Multi-dimensional mining of unstructured data with limited supervision.

Degree: PhD, Computer Science, 2018, University of Illinois – Urbana-Champaign

 As one of the most important data forms, unstructured text data plays a crucial role in data-driven decision making in domains ranging from social networking… (more)

Subjects/Keywords: data mining; multi-dimensional analysis; less supervision

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APA (6th Edition):

Zhang, C. (2018). Multi-dimensional mining of unstructured data with limited supervision. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/102465

Chicago Manual of Style (16th Edition):

Zhang, Chao. “Multi-dimensional mining of unstructured data with limited supervision.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 10, 2021. http://hdl.handle.net/2142/102465.

MLA Handbook (7th Edition):

Zhang, Chao. “Multi-dimensional mining of unstructured data with limited supervision.” 2018. Web. 10 Apr 2021.

Vancouver:

Zhang C. Multi-dimensional mining of unstructured data with limited supervision. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2142/102465.

Council of Science Editors:

Zhang C. Multi-dimensional mining of unstructured data with limited supervision. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/102465


Massey University

6. Ullah, Insha. Contributions to high-dimensional data analysis : some applications of the regularized covariance matrices : a thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Albany, New Zealand .

Degree: 2015, Massey University

 High-dimensional data sets, particularly those where the number of variables exceeds the number of observations, are now common in many subject areas including genetics, ecology,… (more)

Subjects/Keywords: Multivariate analysis; High-dimensional data; Covariance

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APA (6th Edition):

Ullah, I. (2015). Contributions to high-dimensional data analysis : some applications of the regularized covariance matrices : a thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Albany, New Zealand . (Thesis). Massey University. Retrieved from http://hdl.handle.net/10179/6608

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

Chicago Manual of Style (16th Edition):

Ullah, Insha. “Contributions to high-dimensional data analysis : some applications of the regularized covariance matrices : a thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Albany, New Zealand .” 2015. Thesis, Massey University. Accessed April 10, 2021. http://hdl.handle.net/10179/6608.

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

MLA Handbook (7th Edition):

Ullah, Insha. “Contributions to high-dimensional data analysis : some applications of the regularized covariance matrices : a thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Albany, New Zealand .” 2015. Web. 10 Apr 2021.

Vancouver:

Ullah I. Contributions to high-dimensional data analysis : some applications of the regularized covariance matrices : a thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Albany, New Zealand . [Internet] [Thesis]. Massey University; 2015. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/10179/6608.

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

Council of Science Editors:

Ullah I. Contributions to high-dimensional data analysis : some applications of the regularized covariance matrices : a thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Albany, New Zealand . [Thesis]. Massey University; 2015. Available from: http://hdl.handle.net/10179/6608

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


Loughborough University

7. Sleath, Leslie C. The dimensional variation analysis of complex mechanical systems.

Degree: Thesis (Eng.D.), 2014, Loughborough University

Dimensional variation analysis (DVA) is a computer based simulation process used to identify potential assembly process issues due the effects of component part and assembly… (more)

Subjects/Keywords: 658.5; Concurrent engineering; Dimensional management; Dimensional variation analysis; Kinematic constraint map; New product development; Three dimensional visualisation of variation distributions

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APA (6th Edition):

Sleath, L. C. (2014). The dimensional variation analysis of complex mechanical systems. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/13996

Chicago Manual of Style (16th Edition):

Sleath, Leslie C. “The dimensional variation analysis of complex mechanical systems.” 2014. Doctoral Dissertation, Loughborough University. Accessed April 10, 2021. http://hdl.handle.net/2134/13996.

MLA Handbook (7th Edition):

Sleath, Leslie C. “The dimensional variation analysis of complex mechanical systems.” 2014. Web. 10 Apr 2021.

Vancouver:

Sleath LC. The dimensional variation analysis of complex mechanical systems. [Internet] [Doctoral dissertation]. Loughborough University; 2014. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2134/13996.

Council of Science Editors:

Sleath LC. The dimensional variation analysis of complex mechanical systems. [Doctoral Dissertation]. Loughborough University; 2014. Available from: http://hdl.handle.net/2134/13996


University of California – San Francisco

8. Ulrich, Beau. A Novel Analysis of Skeletal Asymmetry Utilizing 3D CBCT Technology: The Ulrich Analysis.

Degree: Oral and Craniofacial Sciences, 2012, University of California – San Francisco

 Introduction: Proper diagnosis and treatment planning is essential to the outcome of orthodontic therapy with accurate diagnostic records being the pinnacle of that process. Previously,… (more)

Subjects/Keywords: Dentistry; asymmetry; CBCT; cone-beam CT; craniofacial skeleton; three-dimensional analysis; three-dimensional imaging

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APA (6th Edition):

Ulrich, B. (2012). A Novel Analysis of Skeletal Asymmetry Utilizing 3D CBCT Technology: The Ulrich Analysis. (Thesis). University of California – San Francisco. Retrieved from http://www.escholarship.org/uc/item/14q55139

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

Chicago Manual of Style (16th Edition):

Ulrich, Beau. “A Novel Analysis of Skeletal Asymmetry Utilizing 3D CBCT Technology: The Ulrich Analysis.” 2012. Thesis, University of California – San Francisco. Accessed April 10, 2021. http://www.escholarship.org/uc/item/14q55139.

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

MLA Handbook (7th Edition):

Ulrich, Beau. “A Novel Analysis of Skeletal Asymmetry Utilizing 3D CBCT Technology: The Ulrich Analysis.” 2012. Web. 10 Apr 2021.

Vancouver:

Ulrich B. A Novel Analysis of Skeletal Asymmetry Utilizing 3D CBCT Technology: The Ulrich Analysis. [Internet] [Thesis]. University of California – San Francisco; 2012. [cited 2021 Apr 10]. Available from: http://www.escholarship.org/uc/item/14q55139.

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

Council of Science Editors:

Ulrich B. A Novel Analysis of Skeletal Asymmetry Utilizing 3D CBCT Technology: The Ulrich Analysis. [Thesis]. University of California – San Francisco; 2012. Available from: http://www.escholarship.org/uc/item/14q55139

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


University of South Carolina

9. Worden, Austin N. Analysis of Cellular Interactions Within a Collagen Hydrogel.

Degree: Degree ofMSin Biomedical Science, Biomedical Science, 2019, University of South Carolina

  Evidence has arisen over the past several years that use of a three- dimensional (3D) culture system provides a distinct advantage over two- dimensional(more)

Subjects/Keywords: Biomedical Engineering and Bioengineering; analysis; cellular; collagen; hydrogel; natural environment; three-dimensional; two-dimensional

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APA (6th Edition):

Worden, A. N. (2019). Analysis of Cellular Interactions Within a Collagen Hydrogel. (Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5165

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

Chicago Manual of Style (16th Edition):

Worden, Austin N. “Analysis of Cellular Interactions Within a Collagen Hydrogel.” 2019. Thesis, University of South Carolina. Accessed April 10, 2021. https://scholarcommons.sc.edu/etd/5165.

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

MLA Handbook (7th Edition):

Worden, Austin N. “Analysis of Cellular Interactions Within a Collagen Hydrogel.” 2019. Web. 10 Apr 2021.

Vancouver:

Worden AN. Analysis of Cellular Interactions Within a Collagen Hydrogel. [Internet] [Thesis]. University of South Carolina; 2019. [cited 2021 Apr 10]. Available from: https://scholarcommons.sc.edu/etd/5165.

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

Council of Science Editors:

Worden AN. Analysis of Cellular Interactions Within a Collagen Hydrogel. [Thesis]. University of South Carolina; 2019. Available from: https://scholarcommons.sc.edu/etd/5165

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


Tulane University

10. Qu, Zhe. High-dimensional statistical data integration.

Degree: 2019, Tulane University

[email protected]

Modern biomedical studies often collect multiple types of high-dimensional data on a common set of objects. A representative model for the integrative analysis of… (more)

Subjects/Keywords: High-dimensional data analysis; Data integration; Canonical correlation analysis

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APA (6th Edition):

Qu, Z. (2019). High-dimensional statistical data integration. (Thesis). Tulane University. Retrieved from https://digitallibrary.tulane.edu/islandora/object/tulane:106916

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

Chicago Manual of Style (16th Edition):

Qu, Zhe. “High-dimensional statistical data integration.” 2019. Thesis, Tulane University. Accessed April 10, 2021. https://digitallibrary.tulane.edu/islandora/object/tulane:106916.

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

MLA Handbook (7th Edition):

Qu, Zhe. “High-dimensional statistical data integration.” 2019. Web. 10 Apr 2021.

Vancouver:

Qu Z. High-dimensional statistical data integration. [Internet] [Thesis]. Tulane University; 2019. [cited 2021 Apr 10]. Available from: https://digitallibrary.tulane.edu/islandora/object/tulane:106916.

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

Council of Science Editors:

Qu Z. High-dimensional statistical data integration. [Thesis]. Tulane University; 2019. Available from: https://digitallibrary.tulane.edu/islandora/object/tulane:106916

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


University of Tasmania

11. Harvey, PM. Pneumatic-modulation comprehensive two-dimensional gas chromatography for environmental analysis.

Degree: 2013, University of Tasmania

 Environmental petroleum hydrocarbon (PHC) monitoring is a major challenge. Analytical methods must be robust; operate with minimal user intervention; be suitable for remote field operation;… (more)

Subjects/Keywords: chromatography; GCxGC; two-dimensional chromatography; environmental analysis; fuel spill analysis

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APA (6th Edition):

Harvey, P. (2013). Pneumatic-modulation comprehensive two-dimensional gas chromatography for environmental analysis. (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/16780/1/Harvey_whole_thesis_ex_pub_mat.pdf ; https://eprints.utas.edu.au/16780/2/Harvey_whole_thesis.pdf

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

Chicago Manual of Style (16th Edition):

Harvey, PM. “Pneumatic-modulation comprehensive two-dimensional gas chromatography for environmental analysis.” 2013. Thesis, University of Tasmania. Accessed April 10, 2021. https://eprints.utas.edu.au/16780/1/Harvey_whole_thesis_ex_pub_mat.pdf ; https://eprints.utas.edu.au/16780/2/Harvey_whole_thesis.pdf.

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

MLA Handbook (7th Edition):

Harvey, PM. “Pneumatic-modulation comprehensive two-dimensional gas chromatography for environmental analysis.” 2013. Web. 10 Apr 2021.

Vancouver:

Harvey P. Pneumatic-modulation comprehensive two-dimensional gas chromatography for environmental analysis. [Internet] [Thesis]. University of Tasmania; 2013. [cited 2021 Apr 10]. Available from: https://eprints.utas.edu.au/16780/1/Harvey_whole_thesis_ex_pub_mat.pdf ; https://eprints.utas.edu.au/16780/2/Harvey_whole_thesis.pdf.

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

Council of Science Editors:

Harvey P. Pneumatic-modulation comprehensive two-dimensional gas chromatography for environmental analysis. [Thesis]. University of Tasmania; 2013. Available from: https://eprints.utas.edu.au/16780/1/Harvey_whole_thesis_ex_pub_mat.pdf ; https://eprints.utas.edu.au/16780/2/Harvey_whole_thesis.pdf

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


McMaster University

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

Degree: MSc, 2011, McMaster University

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 (6th 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 (16th Edition):

Pichika, Sathish chandra. “Sparse Canonical Correlation Analysis (SCCA): A Comparative Study.” 2011. Masters Thesis, McMaster University. Accessed April 10, 2021. http://hdl.handle.net/11375/11779.

MLA Handbook (7th Edition):

Pichika, Sathish chandra. “Sparse Canonical Correlation Analysis (SCCA): A Comparative Study.” 2011. Web. 10 Apr 2021.

Vancouver:

Pichika Sc. Sparse Canonical Correlation Analysis (SCCA): A Comparative Study. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2021 Apr 10]. 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


University of Adelaide

13. Conway, Annie. Clustering of proteomics imaging mass spectrometry data.

Degree: 2016, University of Adelaide

 This thesis presents a toolbox for the exploratory analysis of multivariate data, in particular proteomics imaging mass spectrometry data. Typically such data consist of 15000… (more)

Subjects/Keywords: clustering; proteomics; multivariate data analysis; high-dimensional data analysis; machine learning

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APA (6th Edition):

Conway, A. (2016). Clustering of proteomics imaging mass spectrometry data. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/112036

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

Chicago Manual of Style (16th Edition):

Conway, Annie. “Clustering of proteomics imaging mass spectrometry data.” 2016. Thesis, University of Adelaide. Accessed April 10, 2021. http://hdl.handle.net/2440/112036.

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

MLA Handbook (7th Edition):

Conway, Annie. “Clustering of proteomics imaging mass spectrometry data.” 2016. Web. 10 Apr 2021.

Vancouver:

Conway A. Clustering of proteomics imaging mass spectrometry data. [Internet] [Thesis]. University of Adelaide; 2016. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2440/112036.

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

Council of Science Editors:

Conway A. Clustering of proteomics imaging mass spectrometry data. [Thesis]. University of Adelaide; 2016. Available from: http://hdl.handle.net/2440/112036

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


Hong Kong University of Science and Technology

14. Zhang, Yuan. Cluster analysis for categorical data and its application for dimensionality analysis.

Degree: 2010, Hong Kong University of Science and Technology

 Cluster analysis can not only cluster observations/cases into several groups but also cluster variables into several categories. Huge amount of categorical data is coming from… (more)

Subjects/Keywords: Cluster analysis ; Dimensional analysis

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APA (6th Edition):

Zhang, Y. (2010). Cluster analysis for categorical data and its application for dimensionality analysis. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-7212 ; https://doi.org/10.14711/thesis-b1116255 ; http://repository.ust.hk/ir/bitstream/1783.1-7212/1/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 (16th Edition):

Zhang, Yuan. “Cluster analysis for categorical data and its application for dimensionality analysis.” 2010. Thesis, Hong Kong University of Science and Technology. Accessed April 10, 2021. http://repository.ust.hk/ir/Record/1783.1-7212 ; https://doi.org/10.14711/thesis-b1116255 ; http://repository.ust.hk/ir/bitstream/1783.1-7212/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Zhang, Yuan. “Cluster analysis for categorical data and its application for dimensionality analysis.” 2010. Web. 10 Apr 2021.

Vancouver:

Zhang Y. Cluster analysis for categorical data and its application for dimensionality analysis. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2010. [cited 2021 Apr 10]. Available from: http://repository.ust.hk/ir/Record/1783.1-7212 ; https://doi.org/10.14711/thesis-b1116255 ; http://repository.ust.hk/ir/bitstream/1783.1-7212/1/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:

Zhang Y. Cluster analysis for categorical data and its application for dimensionality analysis. [Thesis]. Hong Kong University of Science and Technology; 2010. Available from: http://repository.ust.hk/ir/Record/1783.1-7212 ; https://doi.org/10.14711/thesis-b1116255 ; http://repository.ust.hk/ir/bitstream/1783.1-7212/1/th_redirect.html

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


Michigan State University

15. Ye, Mingquan. Faster algorithms for machine learning problems in high dimension.

Degree: 2019, Michigan State University

Thesis M.S. Michigan State University. Computer Science 2019

"When dealing with datasets with high dimension, the existing machine learning algorithms often do not work in… (more)

Subjects/Keywords: Machine learning – Statistical methods; Dimensional analysis; Multivariate analysis; Computer science

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

APA (6th Edition):

Ye, M. (2019). Faster algorithms for machine learning problems in high dimension. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:47868

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

Chicago Manual of Style (16th Edition):

Ye, Mingquan. “Faster algorithms for machine learning problems in high dimension.” 2019. Thesis, Michigan State University. Accessed April 10, 2021. http://etd.lib.msu.edu/islandora/object/etd:47868.

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

MLA Handbook (7th Edition):

Ye, Mingquan. “Faster algorithms for machine learning problems in high dimension.” 2019. Web. 10 Apr 2021.

Vancouver:

Ye M. Faster algorithms for machine learning problems in high dimension. [Internet] [Thesis]. Michigan State University; 2019. [cited 2021 Apr 10]. Available from: http://etd.lib.msu.edu/islandora/object/etd:47868.

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

Council of Science Editors:

Ye M. Faster algorithms for machine learning problems in high dimension. [Thesis]. Michigan State University; 2019. Available from: http://etd.lib.msu.edu/islandora/object/etd:47868

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


University of Illinois – Urbana-Champaign

16. Wang, Qi. TextDive: construction, summarization and exploration of multi-dimensional text corpora.

Degree: MS, Computer Science, 2016, University of Illinois – Urbana-Champaign

 With massive datasets accumulating in text repositories (e.g., news articles, customer reviews, etc.), it is highly desirable to systematically utilize and explore them by data… (more)

Subjects/Keywords: multi-dimensional text corpora analysis; text cube analysis; text summarization

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APA (6th Edition):

Wang, Q. (2016). TextDive: construction, summarization and exploration of multi-dimensional text corpora. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/90938

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

Chicago Manual of Style (16th Edition):

Wang, Qi. “TextDive: construction, summarization and exploration of multi-dimensional text corpora.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed April 10, 2021. http://hdl.handle.net/2142/90938.

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

MLA Handbook (7th Edition):

Wang, Qi. “TextDive: construction, summarization and exploration of multi-dimensional text corpora.” 2016. Web. 10 Apr 2021.

Vancouver:

Wang Q. TextDive: construction, summarization and exploration of multi-dimensional text corpora. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2142/90938.

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

Council of Science Editors:

Wang Q. TextDive: construction, summarization and exploration of multi-dimensional text corpora. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/90938

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


Michigan State University

17. Banik, Asish Kumar. Bayesian variable selection and functional data analysis : application to brain imaging.

Degree: 2019, Michigan State University

Thesis Ph. D. Michigan State University. Statistics 2019.

High-dimensional statistics is one of the most studied topics in the field of statistics. The most interesting… (more)

Subjects/Keywords: Bayesian statistical decision theory; Dimensional analysis; Multivariate analysis; Statistics

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APA (6th Edition):

Banik, A. K. (2019). Bayesian variable selection and functional data analysis : application to brain imaging. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:48086

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

Chicago Manual of Style (16th Edition):

Banik, Asish Kumar. “Bayesian variable selection and functional data analysis : application to brain imaging.” 2019. Thesis, Michigan State University. Accessed April 10, 2021. http://etd.lib.msu.edu/islandora/object/etd:48086.

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

MLA Handbook (7th Edition):

Banik, Asish Kumar. “Bayesian variable selection and functional data analysis : application to brain imaging.” 2019. Web. 10 Apr 2021.

Vancouver:

Banik AK. Bayesian variable selection and functional data analysis : application to brain imaging. [Internet] [Thesis]. Michigan State University; 2019. [cited 2021 Apr 10]. Available from: http://etd.lib.msu.edu/islandora/object/etd:48086.

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

Council of Science Editors:

Banik AK. Bayesian variable selection and functional data analysis : application to brain imaging. [Thesis]. Michigan State University; 2019. Available from: http://etd.lib.msu.edu/islandora/object/etd:48086

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

18. Luo, Bin. Robust penalized regression for complex high-dimensional data.

Degree: 2020, NC Docks

 Robust high-dimensional data analysis has become an important and challenging task in complex Big Data analysis due to the high-dimensionality and data contamination. One of… (more)

Subjects/Keywords: Estimation theory; Dimensional analysis; Regression analysis; Least squares

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APA (6th Edition):

Luo, B. (2020). Robust penalized regression for complex high-dimensional data. (Thesis). NC Docks. Retrieved from http://libres.uncg.edu/ir/uncg/f/Luo_uncg_0154D_13007.pdf

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

Chicago Manual of Style (16th Edition):

Luo, Bin. “Robust penalized regression for complex high-dimensional data.” 2020. Thesis, NC Docks. Accessed April 10, 2021. http://libres.uncg.edu/ir/uncg/f/Luo_uncg_0154D_13007.pdf.

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

MLA Handbook (7th Edition):

Luo, Bin. “Robust penalized regression for complex high-dimensional data.” 2020. Web. 10 Apr 2021.

Vancouver:

Luo B. Robust penalized regression for complex high-dimensional data. [Internet] [Thesis]. NC Docks; 2020. [cited 2021 Apr 10]. Available from: http://libres.uncg.edu/ir/uncg/f/Luo_uncg_0154D_13007.pdf.

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

Council of Science Editors:

Luo B. Robust penalized regression for complex high-dimensional data. [Thesis]. NC Docks; 2020. Available from: http://libres.uncg.edu/ir/uncg/f/Luo_uncg_0154D_13007.pdf

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


University of Alberta

19. Xia, Jianguo. Developing bioinformatics tools for metabolomics.

Degree: PhD, Department of Biological Sciences, 2011, University of Alberta

 Metabolomics aims to study all small-molecule compounds (i.e. metabolites) in cells, tissues, or biofluids. These compounds provide a functional readout of the physiological, developmental, and… (more)

Subjects/Keywords: metabolomics; metabolite set enrichment analysis; statistical analysis; metabolic pathway analysis; two dimensional NMR; bioinformatics

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

APA (6th Edition):

Xia, J. (2011). Developing bioinformatics tools for metabolomics. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/5x21tg11x

Chicago Manual of Style (16th Edition):

Xia, Jianguo. “Developing bioinformatics tools for metabolomics.” 2011. Doctoral Dissertation, University of Alberta. Accessed April 10, 2021. https://era.library.ualberta.ca/files/5x21tg11x.

MLA Handbook (7th Edition):

Xia, Jianguo. “Developing bioinformatics tools for metabolomics.” 2011. Web. 10 Apr 2021.

Vancouver:

Xia J. Developing bioinformatics tools for metabolomics. [Internet] [Doctoral dissertation]. University of Alberta; 2011. [cited 2021 Apr 10]. Available from: https://era.library.ualberta.ca/files/5x21tg11x.

Council of Science Editors:

Xia J. Developing bioinformatics tools for metabolomics. [Doctoral Dissertation]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/5x21tg11x


Vanderbilt University

20. Diggins, Kirsten Elizabeth. Quantifying Cellular Heterogeneity in Cancer and the Microenvironment.

Degree: PhD, Cancer Biology, 2016, Vanderbilt University

 In spite of recent advances in therapy, cancer remains a leading cause of death worldwide. Therapy response is often unpredictable and relapse frequently occurs. In… (more)

Subjects/Keywords: mass cytometry; computational analysis; cancer; immunology; flow cytometry; single-cell analysis; high-dimensional analysis

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APA (6th Edition):

Diggins, K. E. (2016). Quantifying Cellular Heterogeneity in Cancer and the Microenvironment. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14853

Chicago Manual of Style (16th Edition):

Diggins, Kirsten Elizabeth. “Quantifying Cellular Heterogeneity in Cancer and the Microenvironment.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed April 10, 2021. http://hdl.handle.net/1803/14853.

MLA Handbook (7th Edition):

Diggins, Kirsten Elizabeth. “Quantifying Cellular Heterogeneity in Cancer and the Microenvironment.” 2016. Web. 10 Apr 2021.

Vancouver:

Diggins KE. Quantifying Cellular Heterogeneity in Cancer and the Microenvironment. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1803/14853.

Council of Science Editors:

Diggins KE. Quantifying Cellular Heterogeneity in Cancer and the Microenvironment. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://hdl.handle.net/1803/14853


Deakin University

21. Holland, Brendan John. Exploring two-dimensional chromatography and chemiluminescence selectivity for complex sample analysis.

Degree: 2015, Deakin University

 Human, animal and plant samples contain a considerable number of chemical substances critical for supporting their existence. This thesis presents improved techniques to find and analyse these components to help us understand more about their roles in the complex jigsaw of life. Advisors/Committee Members: Conlan Xavier.

Subjects/Keywords: two-dimensional chromatography; chemiluminescence selectivity; human sample analysis; animal sample analysis; plant sample analysis

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APA (6th Edition):

Holland, B. J. (2015). Exploring two-dimensional chromatography and chemiluminescence selectivity for complex sample analysis. (Thesis). Deakin University. Retrieved from http://hdl.handle.net/10536/DRO/DU:30079385

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

Chicago Manual of Style (16th Edition):

Holland, Brendan John. “Exploring two-dimensional chromatography and chemiluminescence selectivity for complex sample analysis.” 2015. Thesis, Deakin University. Accessed April 10, 2021. http://hdl.handle.net/10536/DRO/DU:30079385.

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

MLA Handbook (7th Edition):

Holland, Brendan John. “Exploring two-dimensional chromatography and chemiluminescence selectivity for complex sample analysis.” 2015. Web. 10 Apr 2021.

Vancouver:

Holland BJ. Exploring two-dimensional chromatography and chemiluminescence selectivity for complex sample analysis. [Internet] [Thesis]. Deakin University; 2015. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/10536/DRO/DU:30079385.

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

Council of Science Editors:

Holland BJ. Exploring two-dimensional chromatography and chemiluminescence selectivity for complex sample analysis. [Thesis]. Deakin University; 2015. Available from: http://hdl.handle.net/10536/DRO/DU:30079385

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


NSYSU

22. Tai, Chiech-an. An Automatic Data Clustering Algorithm based on Differential Evolution.

Degree: Master, Computer Science and Engineering, 2013, NSYSU

 As one of the traditional optimization problems, clustering still plays a vital role for the re-searches both theoretically and practically nowadays. Although many successful clustering… (more)

Subjects/Keywords: automatic clustering; data clustering; high-dimensional dataset; histogram analysis; differential evolution

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APA (6th Edition):

Tai, C. (2013). An Automatic Data Clustering Algorithm based on Differential Evolution. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730113-152814

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

Chicago Manual of Style (16th Edition):

Tai, Chiech-an. “An Automatic Data Clustering Algorithm based on Differential Evolution.” 2013. Thesis, NSYSU. Accessed April 10, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730113-152814.

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

MLA Handbook (7th Edition):

Tai, Chiech-an. “An Automatic Data Clustering Algorithm based on Differential Evolution.” 2013. Web. 10 Apr 2021.

Vancouver:

Tai C. An Automatic Data Clustering Algorithm based on Differential Evolution. [Internet] [Thesis]. NSYSU; 2013. [cited 2021 Apr 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730113-152814.

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

Council of Science Editors:

Tai C. An Automatic Data Clustering Algorithm based on Differential Evolution. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730113-152814

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

23. Coatanéa, Eric. Conceptual Modelling of Life Cycle Design: A Modelling and Evaluation Method Based on Analogies and Dimensionless Numbers.

Degree: 2005, Helsinki University of Technology

This thesis develops a paradigm for conceptual design based on the idea that dimensional analysis can improve the evaluation and comparison of concepts of solution… (more)

Subjects/Keywords: conceptual design; life cycle design; dimensional analysis; topology; General Design Theory

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APA (6th Edition):

Coatanéa, E. (2005). Conceptual Modelling of Life Cycle Design: A Modelling and Evaluation Method Based on Analogies and Dimensionless Numbers. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2005/isbn9512278537/

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

Chicago Manual of Style (16th Edition):

Coatanéa, Eric. “Conceptual Modelling of Life Cycle Design: A Modelling and Evaluation Method Based on Analogies and Dimensionless Numbers.” 2005. Thesis, Helsinki University of Technology. Accessed April 10, 2021. http://lib.tkk.fi/Diss/2005/isbn9512278537/.

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

MLA Handbook (7th Edition):

Coatanéa, Eric. “Conceptual Modelling of Life Cycle Design: A Modelling and Evaluation Method Based on Analogies and Dimensionless Numbers.” 2005. Web. 10 Apr 2021.

Vancouver:

Coatanéa E. Conceptual Modelling of Life Cycle Design: A Modelling and Evaluation Method Based on Analogies and Dimensionless Numbers. [Internet] [Thesis]. Helsinki University of Technology; 2005. [cited 2021 Apr 10]. Available from: http://lib.tkk.fi/Diss/2005/isbn9512278537/.

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

Council of Science Editors:

Coatanéa E. Conceptual Modelling of Life Cycle Design: A Modelling and Evaluation Method Based on Analogies and Dimensionless Numbers. [Thesis]. Helsinki University of Technology; 2005. Available from: http://lib.tkk.fi/Diss/2005/isbn9512278537/

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


University of Rochester

24. Bryant, Linda M. Remote tutoring : a choice for deaf college students : an action research study.

Degree: EdD, 2011, University of Rochester

 Today‘s deaf college students are expected to succeed academically despite language and learning challenges (Paul, 2009). As a support service, the benefits of tutoring have… (more)

Subjects/Keywords: Deaf; Tutoring; Action research; Dimensional analysis; Distance learning; Remote tutoring

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APA (6th Edition):

Bryant, L. M. (2011). Remote tutoring : a choice for deaf college students : an action research study. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/16913

Chicago Manual of Style (16th Edition):

Bryant, Linda M. “Remote tutoring : a choice for deaf college students : an action research study.” 2011. Doctoral Dissertation, University of Rochester. Accessed April 10, 2021. http://hdl.handle.net/1802/16913.

MLA Handbook (7th Edition):

Bryant, Linda M. “Remote tutoring : a choice for deaf college students : an action research study.” 2011. Web. 10 Apr 2021.

Vancouver:

Bryant LM. Remote tutoring : a choice for deaf college students : an action research study. [Internet] [Doctoral dissertation]. University of Rochester; 2011. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1802/16913.

Council of Science Editors:

Bryant LM. Remote tutoring : a choice for deaf college students : an action research study. [Doctoral Dissertation]. University of Rochester; 2011. Available from: http://hdl.handle.net/1802/16913


Tulane University

25. Xu, Chao. Hypothesis Testing for High-Dimensional Regression Under Extreme Phenotype Sampling of Continuous Traits.

Degree: 2018, Tulane University

Extreme phenotype sampling (EPS) is a broadly-used design to identify candidate genetic factors contributing to the variation of quantitative traits. By enriching the signals in… (more)

Subjects/Keywords: extreme sampling; high-dimensional regression; genetic data analysis

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APA (6th Edition):

Xu, C. (2018). Hypothesis Testing for High-Dimensional Regression Under Extreme Phenotype Sampling of Continuous Traits. (Thesis). Tulane University. Retrieved from https://digitallibrary.tulane.edu/islandora/object/tulane:78817

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

Chicago Manual of Style (16th Edition):

Xu, Chao. “Hypothesis Testing for High-Dimensional Regression Under Extreme Phenotype Sampling of Continuous Traits.” 2018. Thesis, Tulane University. Accessed April 10, 2021. https://digitallibrary.tulane.edu/islandora/object/tulane:78817.

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

MLA Handbook (7th Edition):

Xu, Chao. “Hypothesis Testing for High-Dimensional Regression Under Extreme Phenotype Sampling of Continuous Traits.” 2018. Web. 10 Apr 2021.

Vancouver:

Xu C. Hypothesis Testing for High-Dimensional Regression Under Extreme Phenotype Sampling of Continuous Traits. [Internet] [Thesis]. Tulane University; 2018. [cited 2021 Apr 10]. Available from: https://digitallibrary.tulane.edu/islandora/object/tulane:78817.

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

Council of Science Editors:

Xu C. Hypothesis Testing for High-Dimensional Regression Under Extreme Phenotype Sampling of Continuous Traits. [Thesis]. Tulane University; 2018. Available from: https://digitallibrary.tulane.edu/islandora/object/tulane:78817

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

26. Maiorana, Sara A. SPEEDY 3-D.

Degree: 2014, SUNY College at Fredonia

 This research investigates how college students’ spatial skills vary by age, gender, college major and additional factors. Specifically, it explores students’ abilities to visualize two-dimensional(more)

Subjects/Keywords: Spatial ability.; Mathematics teachers  – Training of.; Dimensional analysis.

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APA (6th Edition):

Maiorana, S. A. (2014). SPEEDY 3-D. (Masters Thesis). SUNY College at Fredonia. Retrieved from http://hdl.handle.net/1951/65144

Chicago Manual of Style (16th Edition):

Maiorana, Sara A. “SPEEDY 3-D. ” 2014. Masters Thesis, SUNY College at Fredonia. Accessed April 10, 2021. http://hdl.handle.net/1951/65144.

MLA Handbook (7th Edition):

Maiorana, Sara A. “SPEEDY 3-D. ” 2014. Web. 10 Apr 2021.

Vancouver:

Maiorana SA. SPEEDY 3-D. [Internet] [Masters thesis]. SUNY College at Fredonia; 2014. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1951/65144.

Council of Science Editors:

Maiorana SA. SPEEDY 3-D. [Masters Thesis]. SUNY College at Fredonia; 2014. Available from: http://hdl.handle.net/1951/65144


University of Illinois – Urbana-Champaign

27. Ouyang, Yunbo. Scalable sparsity structure learning using Bayesian methods.

Degree: PhD, Statistics, 2018, University of Illinois – Urbana-Champaign

 Learning sparsity pattern in high dimension is a great challenge in both implementation and theory. In this thesis we develop scalable Bayesian algorithms based on… (more)

Subjects/Keywords: Bayesian statistics; high-dimensional data analysis; variable selection

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APA (6th Edition):

Ouyang, Y. (2018). Scalable sparsity structure learning using Bayesian methods. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101264

Chicago Manual of Style (16th Edition):

Ouyang, Yunbo. “Scalable sparsity structure learning using Bayesian methods.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 10, 2021. http://hdl.handle.net/2142/101264.

MLA Handbook (7th Edition):

Ouyang, Yunbo. “Scalable sparsity structure learning using Bayesian methods.” 2018. Web. 10 Apr 2021.

Vancouver:

Ouyang Y. Scalable sparsity structure learning using Bayesian methods. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2142/101264.

Council of Science Editors:

Ouyang Y. Scalable sparsity structure learning using Bayesian methods. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101264


North Carolina State University

28. Palmer, Jeremy Andrew. Development of Millimeter Scale Motors for Miniature Direct Drive Robots.

Degree: PhD, Mechanical Engineering, 2002, North Carolina State University

 The twentieth century marked a period of rapid expansion of technology associated with miniaturization of engineering systems. A recent theme in this trend is the… (more)

Subjects/Keywords: dimensional analysis; ultrasonic motors; piezoelectric

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APA (6th Edition):

Palmer, J. A. (2002). Development of Millimeter Scale Motors for Miniature Direct Drive Robots. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/5710

Chicago Manual of Style (16th Edition):

Palmer, Jeremy Andrew. “Development of Millimeter Scale Motors for Miniature Direct Drive Robots.” 2002. Doctoral Dissertation, North Carolina State University. Accessed April 10, 2021. http://www.lib.ncsu.edu/resolver/1840.16/5710.

MLA Handbook (7th Edition):

Palmer, Jeremy Andrew. “Development of Millimeter Scale Motors for Miniature Direct Drive Robots.” 2002. Web. 10 Apr 2021.

Vancouver:

Palmer JA. Development of Millimeter Scale Motors for Miniature Direct Drive Robots. [Internet] [Doctoral dissertation]. North Carolina State University; 2002. [cited 2021 Apr 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5710.

Council of Science Editors:

Palmer JA. Development of Millimeter Scale Motors for Miniature Direct Drive Robots. [Doctoral Dissertation]. North Carolina State University; 2002. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5710


Wayne State University

29. Li, Yan. Novel Regression Models For High-Dimensional Survival Analysis.

Degree: PhD, Computer Science, 2016, Wayne State University

  Survival analysis aims to predict the occurrence of specific events of interest at future time points. The presence of incomplete observations due to censoring… (more)

Subjects/Keywords: High-dimensional data; Regularization; sparsity; Survival Analysis; Computer Sciences

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APA (6th Edition):

Li, Y. (2016). Novel Regression Models For High-Dimensional Survival Analysis. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/1555

Chicago Manual of Style (16th Edition):

Li, Yan. “Novel Regression Models For High-Dimensional Survival Analysis.” 2016. Doctoral Dissertation, Wayne State University. Accessed April 10, 2021. https://digitalcommons.wayne.edu/oa_dissertations/1555.

MLA Handbook (7th Edition):

Li, Yan. “Novel Regression Models For High-Dimensional Survival Analysis.” 2016. Web. 10 Apr 2021.

Vancouver:

Li Y. Novel Regression Models For High-Dimensional Survival Analysis. [Internet] [Doctoral dissertation]. Wayne State University; 2016. [cited 2021 Apr 10]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1555.

Council of Science Editors:

Li Y. Novel Regression Models For High-Dimensional Survival Analysis. [Doctoral Dissertation]. Wayne State University; 2016. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1555


University of Ottawa

30. Andison, Christopher. Patient-Specific Finite Element Modeling of the Mitral Valve .

Degree: 2015, University of Ottawa

 As the most commonly diseased heart valve, the mitral valve (MV) has been the subject of extensive research for many years. Unfortunately, the only treatment… (more)

Subjects/Keywords: Mitral valve; Finite element analysis; Three-dimensional echocardiography

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

APA (6th Edition):

Andison, C. (2015). Patient-Specific Finite Element Modeling of the Mitral Valve . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/33396

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

Chicago Manual of Style (16th Edition):

Andison, Christopher. “Patient-Specific Finite Element Modeling of the Mitral Valve .” 2015. Thesis, University of Ottawa. Accessed April 10, 2021. http://hdl.handle.net/10393/33396.

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

MLA Handbook (7th Edition):

Andison, Christopher. “Patient-Specific Finite Element Modeling of the Mitral Valve .” 2015. Web. 10 Apr 2021.

Vancouver:

Andison C. Patient-Specific Finite Element Modeling of the Mitral Valve . [Internet] [Thesis]. University of Ottawa; 2015. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/10393/33396.

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

Council of Science Editors:

Andison C. Patient-Specific Finite Element Modeling of the Mitral Valve . [Thesis]. University of Ottawa; 2015. Available from: http://hdl.handle.net/10393/33396

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

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