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Showing records 1 – 19 of
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Mississippi State University

1.
Phillips, Katie Lynn.
An application of ridge *regression* and LASSO methods for model selection.

Degree: MS, Mathematics and Statistics, 2018, Mississippi State University

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06182018-094706/ ;

► Ordinary Least Squares (OLS) models are popular tools among field scientists, because they are easy to understand and use. Although OLS estimators are unbiased, it…
(more)

Subjects/Keywords: shrinkage; LASSO; ridge regression

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

APA (6^{th} Edition):

Phillips, K. L. (2018). An application of ridge regression and LASSO methods for model selection. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-06182018-094706/ ;

Chicago Manual of Style (16^{th} Edition):

Phillips, Katie Lynn. “An application of ridge regression and LASSO methods for model selection.” 2018. Masters Thesis, Mississippi State University. Accessed June 25, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-06182018-094706/ ;.

MLA Handbook (7^{th} Edition):

Phillips, Katie Lynn. “An application of ridge regression and LASSO methods for model selection.” 2018. Web. 25 Jun 2019.

Vancouver:

Phillips KL. An application of ridge regression and LASSO methods for model selection. [Internet] [Masters thesis]. Mississippi State University; 2018. [cited 2019 Jun 25]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06182018-094706/ ;.

Council of Science Editors:

Phillips KL. An application of ridge regression and LASSO methods for model selection. [Masters Thesis]. Mississippi State University; 2018. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06182018-094706/ ;

University of Notre Dame

2.
Charles Laurin.
Lasso Meta-*Regression* and Its Application to Psychiatric
Genomics</h1>.

Degree: PhD, Psychology, 2014, University of Notre Dame

URL: https://curate.nd.edu/show/qj72p556n1d

► Meta-analysis is an essential technique in psychiatric genomics. Heterogeneity of the effect sizes included in a meta-analysis can reduce its statistical power. Meta-*regression* provides…
(more)

Subjects/Keywords: meta-regression; meta-analysis; lasso; shrinkage regression

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APA (6^{th} Edition):

Laurin, C. (2014). Lasso Meta-Regression and Its Application to Psychiatric Genomics</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/qj72p556n1d

Chicago Manual of Style (16^{th} Edition):

Laurin, Charles. “Lasso Meta-Regression and Its Application to Psychiatric Genomics</h1>.” 2014. Doctoral Dissertation, University of Notre Dame. Accessed June 25, 2019. https://curate.nd.edu/show/qj72p556n1d.

MLA Handbook (7^{th} Edition):

Laurin, Charles. “Lasso Meta-Regression and Its Application to Psychiatric Genomics</h1>.” 2014. Web. 25 Jun 2019.

Vancouver:

Laurin C. Lasso Meta-Regression and Its Application to Psychiatric Genomics</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2014. [cited 2019 Jun 25]. Available from: https://curate.nd.edu/show/qj72p556n1d.

Council of Science Editors:

Laurin C. Lasso Meta-Regression and Its Application to Psychiatric Genomics</h1>. [Doctoral Dissertation]. University of Notre Dame; 2014. Available from: https://curate.nd.edu/show/qj72p556n1d

University of Manitoba

3.
Munaweera Arachchilage, Inesh Prabuddha.
* Shrinkage* estimators under generalized garrote and LINEX loss functions for

Degree: Statistics, 2018, University of Manitoba

URL: http://hdl.handle.net/1993/33380

► *Shrinkage* methods are widely used in multiple linear *regression* analysis to address the multicollinearity and some other issues in many practical situations. Most of the…
(more)

Subjects/Keywords: LINEX regression; Multiple linear regression; Non-negative garrote; Shrinkage methods

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APA (6^{th} Edition):

Munaweera Arachchilage, I. P. (2018). Shrinkage estimators under generalized garrote and LINEX loss functions for regression analysis. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/33380

Chicago Manual of Style (16^{th} Edition):

Munaweera Arachchilage, Inesh Prabuddha. “Shrinkage estimators under generalized garrote and LINEX loss functions for regression analysis.” 2018. Masters Thesis, University of Manitoba. Accessed June 25, 2019. http://hdl.handle.net/1993/33380.

MLA Handbook (7^{th} Edition):

Munaweera Arachchilage, Inesh Prabuddha. “Shrinkage estimators under generalized garrote and LINEX loss functions for regression analysis.” 2018. Web. 25 Jun 2019.

Vancouver:

Munaweera Arachchilage IP. Shrinkage estimators under generalized garrote and LINEX loss functions for regression analysis. [Internet] [Masters thesis]. University of Manitoba; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/1993/33380.

Council of Science Editors:

Munaweera Arachchilage IP. Shrinkage estimators under generalized garrote and LINEX loss functions for regression analysis. [Masters Thesis]. University of Manitoba; 2018. Available from: http://hdl.handle.net/1993/33380

University of Victoria

4.
Greenlaw, Keelin.
A Bayesian Group Sparse Multi-Task *Regression* Model for Imaging Genomics.

Degree: Department of Mathematics and Statistics, 2015, University of Victoria

URL: http://hdl.handle.net/1828/6577

► Recent advances in technology for brain imaging and high-throughput genotyping have motivated studies examining the influence of genetic variation on brain structure. In this setting,…
(more)

Subjects/Keywords: Bayesian Shrinkage; Imaging Genomics; Tuning Parameter Selection; Multivariate Regression

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APA (6^{th} Edition):

Greenlaw, K. (2015). A Bayesian Group Sparse Multi-Task Regression Model for Imaging Genomics. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/6577

Chicago Manual of Style (16^{th} Edition):

Greenlaw, Keelin. “A Bayesian Group Sparse Multi-Task Regression Model for Imaging Genomics.” 2015. Masters Thesis, University of Victoria. Accessed June 25, 2019. http://hdl.handle.net/1828/6577.

MLA Handbook (7^{th} Edition):

Greenlaw, Keelin. “A Bayesian Group Sparse Multi-Task Regression Model for Imaging Genomics.” 2015. Web. 25 Jun 2019.

Vancouver:

Greenlaw K. A Bayesian Group Sparse Multi-Task Regression Model for Imaging Genomics. [Internet] [Masters thesis]. University of Victoria; 2015. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/1828/6577.

Council of Science Editors:

Greenlaw K. A Bayesian Group Sparse Multi-Task Regression Model for Imaging Genomics. [Masters Thesis]. University of Victoria; 2015. Available from: http://hdl.handle.net/1828/6577

University of Windsor

5. Chen, Fuqi. Optimal Inference Methods in Linear Models with Change-points.

Degree: PhD, Mathematics and Statistics, 2014, University of Windsor

URL: https://scholar.uwindsor.ca/etd/5163

► In this dissertation, we consider an estimation problem of the *regression* coefficients in both multiple *regression* model and multivariate multiple *regression* model with several…
(more)

Subjects/Keywords: ADR; change-points; mixingale array; multivariate regression; shrinkage estimators; Stein-rule

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

APA (6^{th} Edition):

Chen, F. (2014). Optimal Inference Methods in Linear Models with Change-points. (Doctoral Dissertation). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5163

Chicago Manual of Style (16^{th} Edition):

Chen, Fuqi. “Optimal Inference Methods in Linear Models with Change-points.” 2014. Doctoral Dissertation, University of Windsor. Accessed June 25, 2019. https://scholar.uwindsor.ca/etd/5163.

MLA Handbook (7^{th} Edition):

Chen, Fuqi. “Optimal Inference Methods in Linear Models with Change-points.” 2014. Web. 25 Jun 2019.

Vancouver:

Chen F. Optimal Inference Methods in Linear Models with Change-points. [Internet] [Doctoral dissertation]. University of Windsor; 2014. [cited 2019 Jun 25]. Available from: https://scholar.uwindsor.ca/etd/5163.

Council of Science Editors:

Chen F. Optimal Inference Methods in Linear Models with Change-points. [Doctoral Dissertation]. University of Windsor; 2014. Available from: https://scholar.uwindsor.ca/etd/5163

University of Hawaii – Manoa

6. Liang, Lu. Closeness of Factor Analysis and Principal Component Analysis in Semi-High-Dimensional Conditions.

Degree: 2017, University of Hawaii – Manoa

URL: http://hdl.handle.net/10125/51387

►

Ph.D. University of Hawaii at Manoa 2016.

Factor analysis (FA) and principal component analysis (PCA) are routinely employed in research in the social sciences. Guttman… (more)

Subjects/Keywords: High-dimensionality; Large p small N; Regularization; Ridge regression; Shrinkage; Fisher’s z-transformation; Canonical correlation

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APA (6^{th} Edition):

Liang, L. (2017). Closeness of Factor Analysis and Principal Component Analysis in Semi-High-Dimensional Conditions. (Thesis). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/51387

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):

Liang, Lu. “Closeness of Factor Analysis and Principal Component Analysis in Semi-High-Dimensional Conditions.” 2017. Thesis, University of Hawaii – Manoa. Accessed June 25, 2019. http://hdl.handle.net/10125/51387.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Liang, Lu. “Closeness of Factor Analysis and Principal Component Analysis in Semi-High-Dimensional Conditions.” 2017. Web. 25 Jun 2019.

Vancouver:

Liang L. Closeness of Factor Analysis and Principal Component Analysis in Semi-High-Dimensional Conditions. [Internet] [Thesis]. University of Hawaii – Manoa; 2017. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10125/51387.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liang L. Closeness of Factor Analysis and Principal Component Analysis in Semi-High-Dimensional Conditions. [Thesis]. University of Hawaii – Manoa; 2017. Available from: http://hdl.handle.net/10125/51387

Not specified: Masters Thesis or Doctoral Dissertation

University of Washington

7.
Griffin, Maryclare Carney.
Model-Based Penalized * Regression*.

Degree: PhD, 2018, University of Washington

URL: http://hdl.handle.net/1773/43160

► This thesis contains three chapters that consider penalized *regression* from a model-based perspective, interpreting penalties as assumed prior distributions for unknown *regression* coefficients. In the…
(more)

Subjects/Keywords: adaptive inference; empirical Bayes; method of moments; penalized regression; shrinkage priors; structured data; Statistics; Statistics

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APA (6^{th} Edition):

Griffin, M. C. (2018). Model-Based Penalized Regression. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43160

Chicago Manual of Style (16^{th} Edition):

Griffin, Maryclare Carney. “Model-Based Penalized Regression.” 2018. Doctoral Dissertation, University of Washington. Accessed June 25, 2019. http://hdl.handle.net/1773/43160.

MLA Handbook (7^{th} Edition):

Griffin, Maryclare Carney. “Model-Based Penalized Regression.” 2018. Web. 25 Jun 2019.

Vancouver:

Griffin MC. Model-Based Penalized Regression. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/1773/43160.

Council of Science Editors:

Griffin MC. Model-Based Penalized Regression. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/43160

University of Windsor

8. Chen, Fuqi. Optimal Inference Methods in Linear Models with Change-points.

Degree: PhD, Mathematics and Statistics, 2014, University of Windsor

URL: https://scholar.uwindsor.ca/etd/5084

► In this dissertation, we consider an estimation problem of the *regression* coefficients in both multiple *regression* model and multivariate multiple *regression* model with several…
(more)

Subjects/Keywords: Pure sciences; Asymptotic distributional risk; Change-points; Mixingale array; Multivariate regression; Shrinkage estimators; Stein-rule

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Chen, F. (2014). Optimal Inference Methods in Linear Models with Change-points. (Doctoral Dissertation). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5084

Chicago Manual of Style (16^{th} Edition):

Chen, Fuqi. “Optimal Inference Methods in Linear Models with Change-points.” 2014. Doctoral Dissertation, University of Windsor. Accessed June 25, 2019. https://scholar.uwindsor.ca/etd/5084.

MLA Handbook (7^{th} Edition):

Chen, Fuqi. “Optimal Inference Methods in Linear Models with Change-points.” 2014. Web. 25 Jun 2019.

Vancouver:

Chen F. Optimal Inference Methods in Linear Models with Change-points. [Internet] [Doctoral dissertation]. University of Windsor; 2014. [cited 2019 Jun 25]. Available from: https://scholar.uwindsor.ca/etd/5084.

Council of Science Editors:

Chen F. Optimal Inference Methods in Linear Models with Change-points. [Doctoral Dissertation]. University of Windsor; 2014. Available from: https://scholar.uwindsor.ca/etd/5084

University of South Florida

9.
Chen, Wei.
Analysis of Rheumatoid Arthritis Data using Logistic *Regression* and Penalized Approach.

Degree: 2015, University of South Florida

URL: https://scholarcommons.usf.edu/etd/5923

► In this paper, a rheumatoid arthritis (RA) medicine clinical dataset with an ordinal response is selected to study this new medicine. In the dataset, there…
(more)

Subjects/Keywords: logistic regression; shrinkage method; rheumatoid arthritis clinical trial data; Statistics and Probability

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APA (6^{th} Edition):

Chen, W. (2015). Analysis of Rheumatoid Arthritis Data using Logistic Regression and Penalized Approach. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/5923

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Chen, Wei. “Analysis of Rheumatoid Arthritis Data using Logistic Regression and Penalized Approach.” 2015. Thesis, University of South Florida. Accessed June 25, 2019. https://scholarcommons.usf.edu/etd/5923.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Chen, Wei. “Analysis of Rheumatoid Arthritis Data using Logistic Regression and Penalized Approach.” 2015. Web. 25 Jun 2019.

Vancouver:

Chen W. Analysis of Rheumatoid Arthritis Data using Logistic Regression and Penalized Approach. [Internet] [Thesis]. University of South Florida; 2015. [cited 2019 Jun 25]. Available from: https://scholarcommons.usf.edu/etd/5923.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen W. Analysis of Rheumatoid Arthritis Data using Logistic Regression and Penalized Approach. [Thesis]. University of South Florida; 2015. Available from: https://scholarcommons.usf.edu/etd/5923

Not specified: Masters Thesis or Doctoral Dissertation

University of Southern California

10.
Zheng, Zemin.
Feature selection in high-dimensional modeling with
thresholded * regression*.

Degree: PhD, Applied Mathematics, 2015, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544029/rec/2785

► This dissertation addresses two challenging problems with respect to feature selection in the high-dimensional setting, where the number of covariates can be larger than the…
(more)

Subjects/Keywords: prediction and variable selection; high dimensionality; hard-thresholding; global optimality; thresholded regression; shrinkage effect; latent confounding factors; principal components; model selection

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

APA (6^{th} Edition):

Zheng, Z. (2015). Feature selection in high-dimensional modeling with thresholded regression. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544029/rec/2785

Chicago Manual of Style (16^{th} Edition):

Zheng, Zemin. “Feature selection in high-dimensional modeling with thresholded regression.” 2015. Doctoral Dissertation, University of Southern California. Accessed June 25, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544029/rec/2785.

MLA Handbook (7^{th} Edition):

Zheng, Zemin. “Feature selection in high-dimensional modeling with thresholded regression.” 2015. Web. 25 Jun 2019.

Vancouver:

Zheng Z. Feature selection in high-dimensional modeling with thresholded regression. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 Jun 25]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544029/rec/2785.

Council of Science Editors:

Zheng Z. Feature selection in high-dimensional modeling with thresholded regression. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544029/rec/2785

Washington State University

11. [No author]. Soil Carbon Determination Using Rapid, Inexpensive, Non-destructive Spectroscopic Techniques .

Degree: 2012, Washington State University

URL: http://hdl.handle.net/2376/4668

► New methods are required to rapidly and accurately measure soil C at field- and landscape-scales to improve local, regional, and global soil C stock and…
(more)

Subjects/Keywords: Soil sciences; in situ; Laser-induced breakdown spectroscopy; regression shrinkage and variable selection; soil carbon; Visible-near infrared; diffuse reflectance spectroscopy

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APA (6^{th} Edition):

author], [. (2012). Soil Carbon Determination Using Rapid, Inexpensive, Non-destructive Spectroscopic Techniques . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/4668

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

author], [No. “Soil Carbon Determination Using Rapid, Inexpensive, Non-destructive Spectroscopic Techniques .” 2012. Thesis, Washington State University. Accessed June 25, 2019. http://hdl.handle.net/2376/4668.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

author], [No. “Soil Carbon Determination Using Rapid, Inexpensive, Non-destructive Spectroscopic Techniques .” 2012. Web. 25 Jun 2019.

Vancouver:

author] [. Soil Carbon Determination Using Rapid, Inexpensive, Non-destructive Spectroscopic Techniques . [Internet] [Thesis]. Washington State University; 2012. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2376/4668.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

author] [. Soil Carbon Determination Using Rapid, Inexpensive, Non-destructive Spectroscopic Techniques . [Thesis]. Washington State University; 2012. Available from: http://hdl.handle.net/2376/4668

Not specified: Masters Thesis or Doctoral Dissertation

Utah State University

12.
Yin, Ping.
Estimating R2 *Shrinkage* in Multiple *Regression*: A Comparison of Different Analytical Methods.

Degree: MS, Psychology, 1999, Utah State University

URL: https://digitalcommons.usu.edu/etd/6147

► This study investigated the effectiveness of various analytical methods used for estimating R^{2} *shrinkage* in multiple *regression* analysis. Two categories of analytical formulae were…
(more)

Subjects/Keywords: Estimating; shrinkage; multiple regression; comparison; analytical methods; Psychology

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

APA (6^{th} Edition):

Yin, P. (1999). Estimating R2 Shrinkage in Multiple Regression: A Comparison of Different Analytical Methods. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/6147

Chicago Manual of Style (16^{th} Edition):

Yin, Ping. “Estimating R2 Shrinkage in Multiple Regression: A Comparison of Different Analytical Methods.” 1999. Masters Thesis, Utah State University. Accessed June 25, 2019. https://digitalcommons.usu.edu/etd/6147.

MLA Handbook (7^{th} Edition):

Yin, Ping. “Estimating R2 Shrinkage in Multiple Regression: A Comparison of Different Analytical Methods.” 1999. Web. 25 Jun 2019.

Vancouver:

Yin P. Estimating R2 Shrinkage in Multiple Regression: A Comparison of Different Analytical Methods. [Internet] [Masters thesis]. Utah State University; 1999. [cited 2019 Jun 25]. Available from: https://digitalcommons.usu.edu/etd/6147.

Council of Science Editors:

Yin P. Estimating R2 Shrinkage in Multiple Regression: A Comparison of Different Analytical Methods. [Masters Thesis]. Utah State University; 1999. Available from: https://digitalcommons.usu.edu/etd/6147

University of Illinois – Urbana-Champaign

13.
Gan, Lu.
Variable screening and model selection in censored quantile *regression* via sparse penalties and stepwise refinement.

Degree: PhD, 0329, 2014, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/49692

► Many variable selection methods are available for linear *regression* but very little has been developed for quantile *regression*, especially for the censored problems. This study…
(more)

Subjects/Keywords: Variable Screening; Censored Data; Quantile Regression; Least Absolute Selection and Shrinkage Operator (LASSO); Smoothly Clipped Absolute Deviation (SCAD); Portnoy; Peng and Huang; Stepwise Regression; Bidirectional; Backward; Left Censoring; Random Censoring

Record Details Similar Records

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

APA (6^{th} Edition):

Gan, L. (2014). Variable screening and model selection in censored quantile regression via sparse penalties and stepwise refinement. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/49692

Chicago Manual of Style (16^{th} Edition):

Gan, Lu. “Variable screening and model selection in censored quantile regression via sparse penalties and stepwise refinement.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed June 25, 2019. http://hdl.handle.net/2142/49692.

MLA Handbook (7^{th} Edition):

Gan, Lu. “Variable screening and model selection in censored quantile regression via sparse penalties and stepwise refinement.” 2014. Web. 25 Jun 2019.

Vancouver:

Gan L. Variable screening and model selection in censored quantile regression via sparse penalties and stepwise refinement. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2142/49692.

Council of Science Editors:

Gan L. Variable screening and model selection in censored quantile regression via sparse penalties and stepwise refinement. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/49692

Georgia State University

14. Luo, Shan. Advanced Statistical Methodologies in Determining the Observation Time to Discriminate Viruses Using FTIR.

Degree: MS, Mathematics and Statistics, 2009, Georgia State University

URL: https://scholarworks.gsu.edu/math_theses/86

► Fourier transform infrared (FTIR) spectroscopy, one method of electromagnetic radiation for detecting specific cellular molecular structure, can be used to discriminate different types of cells.…
(more)

Subjects/Keywords: Bootstrap method; K-fold Cross-Validation; Shrinkage; Sensitivity; Specificity; Inner-difference; Intra-difference; Wilcoxon Signed-Rank Test; Partial Least Square Regression; Area Under the ROC Curve; Mathematics

Record Details Similar Records

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APA (6^{th} Edition):

Luo, S. (2009). Advanced Statistical Methodologies in Determining the Observation Time to Discriminate Viruses Using FTIR. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/86

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Luo, Shan. “Advanced Statistical Methodologies in Determining the Observation Time to Discriminate Viruses Using FTIR.” 2009. Thesis, Georgia State University. Accessed June 25, 2019. https://scholarworks.gsu.edu/math_theses/86.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Luo, Shan. “Advanced Statistical Methodologies in Determining the Observation Time to Discriminate Viruses Using FTIR.” 2009. Web. 25 Jun 2019.

Vancouver:

Luo S. Advanced Statistical Methodologies in Determining the Observation Time to Discriminate Viruses Using FTIR. [Internet] [Thesis]. Georgia State University; 2009. [cited 2019 Jun 25]. Available from: https://scholarworks.gsu.edu/math_theses/86.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Luo S. Advanced Statistical Methodologies in Determining the Observation Time to Discriminate Viruses Using FTIR. [Thesis]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/math_theses/86

Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

15.
Haranki, Boris.
Strength, Modulus of Elasticity, Creep and *Shrinkage* of Concrete Used in Florida.

Degree: M.E., Civil Engineering - Civil and Coastal Engineering, 2009, University of Florida

URL: http://ufdc.ufl.edu/UFE0024506

► Title: Strength, Modulus of Elasticity, Creep and *Shrinkage* of Concrete used in Florida. Name: Boris Haranki Phone: (352)870-5495 email: [email protected] Department: Civil Engineering Supervisory committee…
(more)

Subjects/Keywords: Cements; Compressive strength; Construction aggregate; Granite; Modeling; Moduli of elasticity; Proportional limit; Regression analysis; Specimens; Tensile strength; concrete, creep, elasticity, florida, modulus, shrinkage, strength

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

APA (6^{th} Edition):

Haranki, B. (2009). Strength, Modulus of Elasticity, Creep and Shrinkage of Concrete Used in Florida. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024506

Chicago Manual of Style (16^{th} Edition):

Haranki, Boris. “Strength, Modulus of Elasticity, Creep and Shrinkage of Concrete Used in Florida.” 2009. Masters Thesis, University of Florida. Accessed June 25, 2019. http://ufdc.ufl.edu/UFE0024506.

MLA Handbook (7^{th} Edition):

Haranki, Boris. “Strength, Modulus of Elasticity, Creep and Shrinkage of Concrete Used in Florida.” 2009. Web. 25 Jun 2019.

Vancouver:

Haranki B. Strength, Modulus of Elasticity, Creep and Shrinkage of Concrete Used in Florida. [Internet] [Masters thesis]. University of Florida; 2009. [cited 2019 Jun 25]. Available from: http://ufdc.ufl.edu/UFE0024506.

Council of Science Editors:

Haranki B. Strength, Modulus of Elasticity, Creep and Shrinkage of Concrete Used in Florida. [Masters Thesis]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024506

16.
Condon, Erin.
Varying Coefficients in Logistic *Regression* with Applications to Marketing Research.

Degree: PhD, 0329, 2012, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/30947

► In the marketing research world today, companies have access to massive amounts of data regarding the purchase behavior of consumers. Researchers study this data to…
(more)

Subjects/Keywords: varying coefficients; group LASSO; marketing research; logistic regression; Least Absolute Selection and Shrinkage Operator (LASSO)

…model selection and *shrinkage* estimation for linear *regression*. To explain LASSO in the linear… …coefficient. In each graph we plot the coefficient from a logistic *regression* of a variable xi… …a set X and z for the raw data vs. the OR for the modeled standard
*regression* data… …purchases behavior.
Logistic *regression* is commonly used in predictive models based on household… …and build their own logistic
normal *regression* with more of a focus on demographics and…

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

APA (6^{th} Edition):

Condon, E. (2012). Varying Coefficients in Logistic Regression with Applications to Marketing Research. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/30947

Chicago Manual of Style (16^{th} Edition):

Condon, Erin. “Varying Coefficients in Logistic Regression with Applications to Marketing Research.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed June 25, 2019. http://hdl.handle.net/2142/30947.

MLA Handbook (7^{th} Edition):

Condon, Erin. “Varying Coefficients in Logistic Regression with Applications to Marketing Research.” 2012. Web. 25 Jun 2019.

Vancouver:

Condon E. Varying Coefficients in Logistic Regression with Applications to Marketing Research. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2142/30947.

Council of Science Editors:

Condon E. Varying Coefficients in Logistic Regression with Applications to Marketing Research. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/30947

University of Florida

17.
Liu, Yanjun.
Strength, Modulus of Elasticity, *Shrinkage* and Creep of Concrete.

Degree: PhD, Civil Engineering - Civil and Coastal Engineering, 2007, University of Florida

URL: http://ufdc.ufl.edu/UFE0021579

► In the application of prestressed concrete, there are concerns on severe prestress loss caused mainly by elastic shortening, *shrinkage* and creep of concrete, which will…
(more)

Subjects/Keywords: Cements; Compression bandages; Compressive strength; Construction aggregate; Granite; Modeling; Moduli of elasticity; Moisture content; Proportional limit; Tensile strength; aggregate, creep, gauge, modulus, prediction, regression, shrinkage, strength

Record Details Similar Records

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

APA (6^{th} Edition):

Liu, Y. (2007). Strength, Modulus of Elasticity, Shrinkage and Creep of Concrete. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0021579

Chicago Manual of Style (16^{th} Edition):

Liu, Yanjun. “Strength, Modulus of Elasticity, Shrinkage and Creep of Concrete.” 2007. Doctoral Dissertation, University of Florida. Accessed June 25, 2019. http://ufdc.ufl.edu/UFE0021579.

MLA Handbook (7^{th} Edition):

Liu, Yanjun. “Strength, Modulus of Elasticity, Shrinkage and Creep of Concrete.” 2007. Web. 25 Jun 2019.

Vancouver:

Liu Y. Strength, Modulus of Elasticity, Shrinkage and Creep of Concrete. [Internet] [Doctoral dissertation]. University of Florida; 2007. [cited 2019 Jun 25]. Available from: http://ufdc.ufl.edu/UFE0021579.

Council of Science Editors:

Liu Y. Strength, Modulus of Elasticity, Shrinkage and Creep of Concrete. [Doctoral Dissertation]. University of Florida; 2007. Available from: http://ufdc.ufl.edu/UFE0021579

18. Yu, Danni. Estimation of Variation For High-throughput Molecular Biological Experiments With Small Sample Size.

Degree: PhD, Statistics, 2013, Purdue University

URL: http://docs.lib.purdue.edu/open_access_dissertations/14

► Motivation: In the quantification of molecular components, a large variation can affect and even potentially mislead the biological conclusions. Meanwhile, the high-throughput experiments often…
(more)

Subjects/Keywords: shrinkage estimator of dispersion in negative binomial models; pure sciences; biological sciences; linear mixed effect models; linear quadratic regression model with random coefficients; Bioinformatics; Biostatistics; Statistics and Probability

…4.3.1
Per-fragment linear quadratic *regression*. . . . . . . . . . . . .
74
4.3.2
All… …fragment linear quadratic *regression* for a peptide. . . . . .
76
4.3.3
Evaluations… …cutoff, obtained with the *shrinkage* of variance
as opposed to the proposed *shrinkage* of… …perPairDisp’: separate dispersion estimation and *shrinkage* for each subject. ‘poolDisp’: averaged… …per-subject method of moments
estimates of dispersion, and a single *shrinkage* step of the…

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

APA (6^{th} Edition):

Yu, D. (2013). Estimation of Variation For High-throughput Molecular Biological Experiments With Small Sample Size. (Doctoral Dissertation). Purdue University. Retrieved from http://docs.lib.purdue.edu/open_access_dissertations/14

Chicago Manual of Style (16^{th} Edition):

Yu, Danni. “Estimation of Variation For High-throughput Molecular Biological Experiments With Small Sample Size.” 2013. Doctoral Dissertation, Purdue University. Accessed June 25, 2019. http://docs.lib.purdue.edu/open_access_dissertations/14.

MLA Handbook (7^{th} Edition):

Yu, Danni. “Estimation of Variation For High-throughput Molecular Biological Experiments With Small Sample Size.” 2013. Web. 25 Jun 2019.

Vancouver:

Yu D. Estimation of Variation For High-throughput Molecular Biological Experiments With Small Sample Size. [Internet] [Doctoral dissertation]. Purdue University; 2013. [cited 2019 Jun 25]. Available from: http://docs.lib.purdue.edu/open_access_dissertations/14.

Council of Science Editors:

Yu D. Estimation of Variation For High-throughput Molecular Biological Experiments With Small Sample Size. [Doctoral Dissertation]. Purdue University; 2013. Available from: http://docs.lib.purdue.edu/open_access_dissertations/14

Brno University of Technology

19. Beranová, Michaela. Aspekty zásob v maloobchodě: modely přirozených úbytků zásob a ztratného .

Degree: 2009, Brno University of Technology

URL: http://hdl.handle.net/11012/1397

► Disertační práce se zabývá problematikou stanovení objektivní výše normy přirozených úbytků zásob a ztratného v maloobchodě. V rámci disertační práce jsou zkoumány faktory, které ovlivňují…
(more)

Subjects/Keywords: Fuzzy logika; maloobchod; manko; přirozené úbytky zásob; regresní analýza; škoda; ztratné; Fuzzy Logic; Retail Business; Shortage of Stock; Natural Shrinkage of Stock; Regression Analysis; Damage; Accidental Losses of Stock

Record Details Similar Records

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

APA (6^{th} Edition):

Beranová, M. (2009). Aspekty zásob v maloobchodě: modely přirozených úbytků zásob a ztratného . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/1397

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Beranová, Michaela. “Aspekty zásob v maloobchodě: modely přirozených úbytků zásob a ztratného .” 2009. Thesis, Brno University of Technology. Accessed June 25, 2019. http://hdl.handle.net/11012/1397.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Beranová, Michaela. “Aspekty zásob v maloobchodě: modely přirozených úbytků zásob a ztratného .” 2009. Web. 25 Jun 2019.

Vancouver:

Beranová M. Aspekty zásob v maloobchodě: modely přirozených úbytků zásob a ztratného . [Internet] [Thesis]. Brno University of Technology; 2009. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/11012/1397.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Beranová M. Aspekty zásob v maloobchodě: modely přirozených úbytků zásob a ztratného . [Thesis]. Brno University of Technology; 2009. Available from: http://hdl.handle.net/11012/1397

Not specified: Masters Thesis or Doctoral Dissertation