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You searched for subject:(Nonparametric statistics fast ). Showing records 1 – 30 of 16979 total matches.

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1. Hemmer, Michael Toshiro. Nonparametric Test for the Umbrella Alternative in a Randomized Complete Block and Balanced Incomplete Block Mixed Design.

Degree: MS, Statistics, 2012, North Dakota State University

Nonparametric tests have served as robust alternatives to traditional statistical tests with rigid underlying assumptions. If a researcher expects the treatment effects to follow an… (more)

Subjects/Keywords: Nonparametric statistics.

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

APA (6th Edition):

Hemmer, M. T. (2012). Nonparametric Test for the Umbrella Alternative in a Randomized Complete Block and Balanced Incomplete Block Mixed Design. (Masters Thesis). North Dakota State University. Retrieved from http://hdl.handle.net/10365/26696

Chicago Manual of Style (16th Edition):

Hemmer, Michael Toshiro. “Nonparametric Test for the Umbrella Alternative in a Randomized Complete Block and Balanced Incomplete Block Mixed Design.” 2012. Masters Thesis, North Dakota State University. Accessed September 23, 2019. http://hdl.handle.net/10365/26696.

MLA Handbook (7th Edition):

Hemmer, Michael Toshiro. “Nonparametric Test for the Umbrella Alternative in a Randomized Complete Block and Balanced Incomplete Block Mixed Design.” 2012. Web. 23 Sep 2019.

Vancouver:

Hemmer MT. Nonparametric Test for the Umbrella Alternative in a Randomized Complete Block and Balanced Incomplete Block Mixed Design. [Internet] [Masters thesis]. North Dakota State University; 2012. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/10365/26696.

Council of Science Editors:

Hemmer MT. Nonparametric Test for the Umbrella Alternative in a Randomized Complete Block and Balanced Incomplete Block Mixed Design. [Masters Thesis]. North Dakota State University; 2012. Available from: http://hdl.handle.net/10365/26696


Nelson Mandela Metropolitan University

2. [No author]. Statistical methods for the detection of non-technical losses: a case study for the Nelson Mandela Bay Municipality.

Degree: Faculty of Science, 2017, Nelson Mandela Metropolitan University

 Electricity is one of the most stolen commodities in the world. Electricity theft can be defined as the criminal act of stealing electrical power. Several… (more)

Subjects/Keywords: Nonparametric statistics; Mathematical statistics; Statistics

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APA (6th Edition):

author], [. (2017). Statistical methods for the detection of non-technical losses: a case study for the Nelson Mandela Bay Municipality. (Thesis). Nelson Mandela Metropolitan University. Retrieved from http://hdl.handle.net/10948/19706

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):

author], [No. “Statistical methods for the detection of non-technical losses: a case study for the Nelson Mandela Bay Municipality.” 2017. Thesis, Nelson Mandela Metropolitan University. Accessed September 23, 2019. http://hdl.handle.net/10948/19706.

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

MLA Handbook (7th Edition):

author], [No. “Statistical methods for the detection of non-technical losses: a case study for the Nelson Mandela Bay Municipality.” 2017. Web. 23 Sep 2019.

Vancouver:

author] [. Statistical methods for the detection of non-technical losses: a case study for the Nelson Mandela Bay Municipality. [Internet] [Thesis]. Nelson Mandela Metropolitan University; 2017. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/10948/19706.

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

Council of Science Editors:

author] [. Statistical methods for the detection of non-technical losses: a case study for the Nelson Mandela Bay Municipality. [Thesis]. Nelson Mandela Metropolitan University; 2017. Available from: http://hdl.handle.net/10948/19706

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

3. Zhao, Yanchun. Comparison of Proposed K Sample Tests with Dietz's Test for Nondecreasing Ordered Alternatives for Bivariate Normal Data.

Degree: MS, Statistics, 2011, North Dakota State University

 There are many situations in which researchers want to consider a set of response variables simultaneously rather than just one response variable. For instance, a… (more)

Subjects/Keywords: Order statistics.; Mathematical statistics.; Nonparametric statistics.

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APA (6th Edition):

Zhao, Y. (2011). Comparison of Proposed K Sample Tests with Dietz's Test for Nondecreasing Ordered Alternatives for Bivariate Normal Data. (Masters Thesis). North Dakota State University. Retrieved from http://hdl.handle.net/10365/28836

Chicago Manual of Style (16th Edition):

Zhao, Yanchun. “Comparison of Proposed K Sample Tests with Dietz's Test for Nondecreasing Ordered Alternatives for Bivariate Normal Data.” 2011. Masters Thesis, North Dakota State University. Accessed September 23, 2019. http://hdl.handle.net/10365/28836.

MLA Handbook (7th Edition):

Zhao, Yanchun. “Comparison of Proposed K Sample Tests with Dietz's Test for Nondecreasing Ordered Alternatives for Bivariate Normal Data.” 2011. Web. 23 Sep 2019.

Vancouver:

Zhao Y. Comparison of Proposed K Sample Tests with Dietz's Test for Nondecreasing Ordered Alternatives for Bivariate Normal Data. [Internet] [Masters thesis]. North Dakota State University; 2011. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/10365/28836.

Council of Science Editors:

Zhao Y. Comparison of Proposed K Sample Tests with Dietz's Test for Nondecreasing Ordered Alternatives for Bivariate Normal Data. [Masters Thesis]. North Dakota State University; 2011. Available from: http://hdl.handle.net/10365/28836


Texas A&M University

4. Li, Yehua. Topics in functional data analysis with biological applications.

Degree: 2009, Texas A&M University

 Functional data analysis (FDA) is an active field of statistics, in which the primary subjects in the study are curves. My dissertation consists of two… (more)

Subjects/Keywords: Functional Data Analysis; Nonparametric statistics

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APA (6th Edition):

Li, Y. (2009). Topics in functional data analysis with biological applications. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1867

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):

Li, Yehua. “Topics in functional data analysis with biological applications.” 2009. Thesis, Texas A&M University. Accessed September 23, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1867.

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

MLA Handbook (7th Edition):

Li, Yehua. “Topics in functional data analysis with biological applications.” 2009. Web. 23 Sep 2019.

Vancouver:

Li Y. Topics in functional data analysis with biological applications. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1867.

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

Council of Science Editors:

Li Y. Topics in functional data analysis with biological applications. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1867

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


Oregon State University

5. Wang, Lu. Nonparametric Estimation of Additive Models with Shape Constraints.

Degree: PhD, Statistics, 2016, Oregon State University

 Monotone additive models are useful in estimating productivity curves or analyzing disease risk where the predictors are known to have monotonic effects on the response.… (more)

Subjects/Keywords: Additive model; Nonparametric statistics

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APA (6th Edition):

Wang, L. (2016). Nonparametric Estimation of Additive Models with Shape Constraints. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/59111

Chicago Manual of Style (16th Edition):

Wang, Lu. “Nonparametric Estimation of Additive Models with Shape Constraints.” 2016. Doctoral Dissertation, Oregon State University. Accessed September 23, 2019. http://hdl.handle.net/1957/59111.

MLA Handbook (7th Edition):

Wang, Lu. “Nonparametric Estimation of Additive Models with Shape Constraints.” 2016. Web. 23 Sep 2019.

Vancouver:

Wang L. Nonparametric Estimation of Additive Models with Shape Constraints. [Internet] [Doctoral dissertation]. Oregon State University; 2016. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1957/59111.

Council of Science Editors:

Wang L. Nonparametric Estimation of Additive Models with Shape Constraints. [Doctoral Dissertation]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/59111


Oregon State University

6. Yang, Ke. Finite sample performance of nonparametric regression estimators : the case of additive and parametric covariance models.

Degree: PhD, Economics, 2005, Oregon State University

 This dissertation is composed of three essays regarding the finite sample properties of estimators for nonparametric models. In the first essay we investigate the finite… (more)

Subjects/Keywords: Nonparametric statistics

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APA (6th Edition):

Yang, K. (2005). Finite sample performance of nonparametric regression estimators : the case of additive and parametric covariance models. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/28595

Chicago Manual of Style (16th Edition):

Yang, Ke. “Finite sample performance of nonparametric regression estimators : the case of additive and parametric covariance models.” 2005. Doctoral Dissertation, Oregon State University. Accessed September 23, 2019. http://hdl.handle.net/1957/28595.

MLA Handbook (7th Edition):

Yang, Ke. “Finite sample performance of nonparametric regression estimators : the case of additive and parametric covariance models.” 2005. Web. 23 Sep 2019.

Vancouver:

Yang K. Finite sample performance of nonparametric regression estimators : the case of additive and parametric covariance models. [Internet] [Doctoral dissertation]. Oregon State University; 2005. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1957/28595.

Council of Science Editors:

Yang K. Finite sample performance of nonparametric regression estimators : the case of additive and parametric covariance models. [Doctoral Dissertation]. Oregon State University; 2005. Available from: http://hdl.handle.net/1957/28595


Montana Tech

7. Mueller, Dale Eugene. A GEOMETRICAL VIEW OF THE KOLMOGOROV-SMIRNOV STATISTICS WITH MULTI-SAMPLE GENERALIZATIONS.

Degree: PhD, 1978, Montana Tech

Subjects/Keywords: Nonparametric statistics.

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APA (6th Edition):

Mueller, D. E. (1978). A GEOMETRICAL VIEW OF THE KOLMOGOROV-SMIRNOV STATISTICS WITH MULTI-SAMPLE GENERALIZATIONS. (Doctoral Dissertation). Montana Tech. Retrieved from https://scholarworks.umt.edu/etd/10006

Chicago Manual of Style (16th Edition):

Mueller, Dale Eugene. “A GEOMETRICAL VIEW OF THE KOLMOGOROV-SMIRNOV STATISTICS WITH MULTI-SAMPLE GENERALIZATIONS.” 1978. Doctoral Dissertation, Montana Tech. Accessed September 23, 2019. https://scholarworks.umt.edu/etd/10006.

MLA Handbook (7th Edition):

Mueller, Dale Eugene. “A GEOMETRICAL VIEW OF THE KOLMOGOROV-SMIRNOV STATISTICS WITH MULTI-SAMPLE GENERALIZATIONS.” 1978. Web. 23 Sep 2019.

Vancouver:

Mueller DE. A GEOMETRICAL VIEW OF THE KOLMOGOROV-SMIRNOV STATISTICS WITH MULTI-SAMPLE GENERALIZATIONS. [Internet] [Doctoral dissertation]. Montana Tech; 1978. [cited 2019 Sep 23]. Available from: https://scholarworks.umt.edu/etd/10006.

Council of Science Editors:

Mueller DE. A GEOMETRICAL VIEW OF THE KOLMOGOROV-SMIRNOV STATISTICS WITH MULTI-SAMPLE GENERALIZATIONS. [Doctoral Dissertation]. Montana Tech; 1978. Available from: https://scholarworks.umt.edu/etd/10006


Duke University

8. Christensen, Jonathan. Applications and Computation of Stateful Polya Trees .

Degree: 2017, Duke University

  Polya trees are a class of nonparametric priors on distributions which are able to model absolutely continuous distributions directly, rather than modeling a discrete… (more)

Subjects/Keywords: Statistics; Bayesian; Nonparametric; Polya tree

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APA (6th Edition):

Christensen, J. (2017). Applications and Computation of Stateful Polya Trees . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/16370

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):

Christensen, Jonathan. “Applications and Computation of Stateful Polya Trees .” 2017. Thesis, Duke University. Accessed September 23, 2019. http://hdl.handle.net/10161/16370.

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

MLA Handbook (7th Edition):

Christensen, Jonathan. “Applications and Computation of Stateful Polya Trees .” 2017. Web. 23 Sep 2019.

Vancouver:

Christensen J. Applications and Computation of Stateful Polya Trees . [Internet] [Thesis]. Duke University; 2017. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/10161/16370.

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

Council of Science Editors:

Christensen J. Applications and Computation of Stateful Polya Trees . [Thesis]. Duke University; 2017. Available from: http://hdl.handle.net/10161/16370

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


Oregon State University

9. Derryberry, DeWayne R. Extensions of the proportional hazards loglikelihood for censored survival data.

Degree: PhD, Statistics, 1998, Oregon State University

 The semi-parametric approach to the analysis of proportional hazards survival data is relatively new, having been initiated in 1972 by Sir David Cox, who restricted… (more)

Subjects/Keywords: Nonparametric statistics

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APA (6th Edition):

Derryberry, D. R. (1998). Extensions of the proportional hazards loglikelihood for censored survival data. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/33302

Chicago Manual of Style (16th Edition):

Derryberry, DeWayne R. “Extensions of the proportional hazards loglikelihood for censored survival data.” 1998. Doctoral Dissertation, Oregon State University. Accessed September 23, 2019. http://hdl.handle.net/1957/33302.

MLA Handbook (7th Edition):

Derryberry, DeWayne R. “Extensions of the proportional hazards loglikelihood for censored survival data.” 1998. Web. 23 Sep 2019.

Vancouver:

Derryberry DR. Extensions of the proportional hazards loglikelihood for censored survival data. [Internet] [Doctoral dissertation]. Oregon State University; 1998. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1957/33302.

Council of Science Editors:

Derryberry DR. Extensions of the proportional hazards loglikelihood for censored survival data. [Doctoral Dissertation]. Oregon State University; 1998. Available from: http://hdl.handle.net/1957/33302


Kansas State University

10. Hsu, Ming-Shu. Nonparametric estimation of life distributions.

Degree: 1980, Kansas State University

Subjects/Keywords: Nonparametric statistics

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APA (6th Edition):

Hsu, M. (1980). Nonparametric estimation of life distributions. (Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/9430

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):

Hsu, Ming-Shu. “Nonparametric estimation of life distributions.” 1980. Thesis, Kansas State University. Accessed September 23, 2019. http://hdl.handle.net/2097/9430.

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

MLA Handbook (7th Edition):

Hsu, Ming-Shu. “Nonparametric estimation of life distributions.” 1980. Web. 23 Sep 2019.

Vancouver:

Hsu M. Nonparametric estimation of life distributions. [Internet] [Thesis]. Kansas State University; 1980. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/2097/9430.

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

Council of Science Editors:

Hsu M. Nonparametric estimation of life distributions. [Thesis]. Kansas State University; 1980. Available from: http://hdl.handle.net/2097/9430

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


Michigan State University

11. Chang, Chi (College teacher). Nonparametric multilevel latent class analysis with covariates : an approach to classification in multilevel contexts.

Degree: 2016, Michigan State University

Thesis Ph. D. Michigan State University. Measurement and Quantitative Methods 2016

The dissertation investigated how classification accuracy and parameter estimation of a nonparametric multilevel latent… (more)

Subjects/Keywords: Nonparametric statistics – Data processing; Education

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APA (6th Edition):

Chang, C. (. t. (2016). Nonparametric multilevel latent class analysis with covariates : an approach to classification in multilevel contexts. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:4233

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):

Chang, Chi (College teacher). “Nonparametric multilevel latent class analysis with covariates : an approach to classification in multilevel contexts.” 2016. Thesis, Michigan State University. Accessed September 23, 2019. http://etd.lib.msu.edu/islandora/object/etd:4233.

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

MLA Handbook (7th Edition):

Chang, Chi (College teacher). “Nonparametric multilevel latent class analysis with covariates : an approach to classification in multilevel contexts.” 2016. Web. 23 Sep 2019.

Vancouver:

Chang C(t. Nonparametric multilevel latent class analysis with covariates : an approach to classification in multilevel contexts. [Internet] [Thesis]. Michigan State University; 2016. [cited 2019 Sep 23]. Available from: http://etd.lib.msu.edu/islandora/object/etd:4233.

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

Council of Science Editors:

Chang C(t. Nonparametric multilevel latent class analysis with covariates : an approach to classification in multilevel contexts. [Thesis]. Michigan State University; 2016. Available from: http://etd.lib.msu.edu/islandora/object/etd:4233

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


Rutgers University

12. Li, Mingyu, 1981-. Nonparametric and semiparametric regression, missing data, and related algorithms:.

Degree: PhD, Statistics and Biostatistics, 2010, Rutgers University

This dissertation consists of two chapters: Chapter 1 develops nonparametric and semiparametric regression methodologies which relate the group testing responses to the individual covariates information.… (more)

Subjects/Keywords: Nonparametric statistics; Regression analysis

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APA (6th Edition):

Li, Mingyu, 1. (2010). Nonparametric and semiparametric regression, missing data, and related algorithms:. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052210

Chicago Manual of Style (16th Edition):

Li, Mingyu, 1981-. “Nonparametric and semiparametric regression, missing data, and related algorithms:.” 2010. Doctoral Dissertation, Rutgers University. Accessed September 23, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052210.

MLA Handbook (7th Edition):

Li, Mingyu, 1981-. “Nonparametric and semiparametric regression, missing data, and related algorithms:.” 2010. Web. 23 Sep 2019.

Vancouver:

Li, Mingyu 1. Nonparametric and semiparametric regression, missing data, and related algorithms:. [Internet] [Doctoral dissertation]. Rutgers University; 2010. [cited 2019 Sep 23]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052210.

Council of Science Editors:

Li, Mingyu 1. Nonparametric and semiparametric regression, missing data, and related algorithms:. [Doctoral Dissertation]. Rutgers University; 2010. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052210


The Ohio State University

13. Chai, Shu-ping. A univariate two-sample nonparametric test for dispersion and a class of bivariate two-sample nonparametric tests for location.

Degree: PhD, Graduate School, 1972, The Ohio State University

Subjects/Keywords: Statistics; Nonparametric statistics

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

APA (6th Edition):

Chai, S. (1972). A univariate two-sample nonparametric test for dispersion and a class of bivariate two-sample nonparametric tests for location. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1486736568275934

Chicago Manual of Style (16th Edition):

Chai, Shu-ping. “A univariate two-sample nonparametric test for dispersion and a class of bivariate two-sample nonparametric tests for location.” 1972. Doctoral Dissertation, The Ohio State University. Accessed September 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486736568275934.

MLA Handbook (7th Edition):

Chai, Shu-ping. “A univariate two-sample nonparametric test for dispersion and a class of bivariate two-sample nonparametric tests for location.” 1972. Web. 23 Sep 2019.

Vancouver:

Chai S. A univariate two-sample nonparametric test for dispersion and a class of bivariate two-sample nonparametric tests for location. [Internet] [Doctoral dissertation]. The Ohio State University; 1972. [cited 2019 Sep 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486736568275934.

Council of Science Editors:

Chai S. A univariate two-sample nonparametric test for dispersion and a class of bivariate two-sample nonparametric tests for location. [Doctoral Dissertation]. The Ohio State University; 1972. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486736568275934


The Ohio State University

14. Lee, Young Jack. Nonparametric ranking and selection procedures.

Degree: PhD, Graduate School, 1974, The Ohio State University

Subjects/Keywords: Statistics; Nonparametric statistics

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APA (6th Edition):

Lee, Y. J. (1974). Nonparametric ranking and selection procedures. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1486985327535784

Chicago Manual of Style (16th Edition):

Lee, Young Jack. “Nonparametric ranking and selection procedures.” 1974. Doctoral Dissertation, The Ohio State University. Accessed September 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486985327535784.

MLA Handbook (7th Edition):

Lee, Young Jack. “Nonparametric ranking and selection procedures.” 1974. Web. 23 Sep 2019.

Vancouver:

Lee YJ. Nonparametric ranking and selection procedures. [Internet] [Doctoral dissertation]. The Ohio State University; 1974. [cited 2019 Sep 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486985327535784.

Council of Science Editors:

Lee YJ. Nonparametric ranking and selection procedures. [Doctoral Dissertation]. The Ohio State University; 1974. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486985327535784


University of Melbourne

15. Miller, Hugh Richard. Statistical methods for the analysis of high-dimensional data.

Degree: 2010, University of Melbourne

 High-dimensional statistics has captured the imagination of many statisticians worldwide, because of its interesting applications as well as the unique challenges faced. This thesis addresses… (more)

Subjects/Keywords: high dimensional statistics; nonparametric statistics; ranking; bootstrap

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APA (6th Edition):

Miller, H. R. (2010). Statistical methods for the analysis of high-dimensional data. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/35462

Chicago Manual of Style (16th Edition):

Miller, Hugh Richard. “Statistical methods for the analysis of high-dimensional data.” 2010. Doctoral Dissertation, University of Melbourne. Accessed September 23, 2019. http://hdl.handle.net/11343/35462.

MLA Handbook (7th Edition):

Miller, Hugh Richard. “Statistical methods for the analysis of high-dimensional data.” 2010. Web. 23 Sep 2019.

Vancouver:

Miller HR. Statistical methods for the analysis of high-dimensional data. [Internet] [Doctoral dissertation]. University of Melbourne; 2010. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/11343/35462.

Council of Science Editors:

Miller HR. Statistical methods for the analysis of high-dimensional data. [Doctoral Dissertation]. University of Melbourne; 2010. Available from: http://hdl.handle.net/11343/35462

16. Adnan, Mian Arif Shams. A least deviation approach for credibility estimation : an alternative approach to Buhlmann's credibility.

Degree: MA, 2016, Ball State University

 All previously derived univariate measures of credibility are much affected by outlier(s) and their multivariate or hierarchical or regression counterparts on the other hand, fail… (more)

Subjects/Keywords: Outliers (Statistics); Nonparametric statistics.; Credibility theory (Insurance)

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APA (6th Edition):

Adnan, M. A. S. (2016). A least deviation approach for credibility estimation : an alternative approach to Buhlmann's credibility. (Masters Thesis). Ball State University. Retrieved from http://cardinalscholar.bsu.edu/handle/123456789/200302

Chicago Manual of Style (16th Edition):

Adnan, Mian Arif Shams. “A least deviation approach for credibility estimation : an alternative approach to Buhlmann's credibility.” 2016. Masters Thesis, Ball State University. Accessed September 23, 2019. http://cardinalscholar.bsu.edu/handle/123456789/200302.

MLA Handbook (7th Edition):

Adnan, Mian Arif Shams. “A least deviation approach for credibility estimation : an alternative approach to Buhlmann's credibility.” 2016. Web. 23 Sep 2019.

Vancouver:

Adnan MAS. A least deviation approach for credibility estimation : an alternative approach to Buhlmann's credibility. [Internet] [Masters thesis]. Ball State University; 2016. [cited 2019 Sep 23]. Available from: http://cardinalscholar.bsu.edu/handle/123456789/200302.

Council of Science Editors:

Adnan MAS. A least deviation approach for credibility estimation : an alternative approach to Buhlmann's credibility. [Masters Thesis]. Ball State University; 2016. Available from: http://cardinalscholar.bsu.edu/handle/123456789/200302

17. James, Addison. Information Criterion for Nonparametric Model-Assisted Survey Estimators.

Degree: PhD, Statistics, 2016, Oregon State University

Nonparametric model-assisted estimators have been proposed to improve estimates of finite population parameters. More efficient estimators are obtained when the parametric model is misspecified due… (more)

Subjects/Keywords: Nonparametric; Nonparametric statistics

…starting me of my path toward my Ph.D. research in nonparametric survey statistics. I am thankful… …directing me to the field of statistics and my Masters advisor, Dr. F. Jay Breidt for… …Nonparametric Modeling . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.3 Variable Selection… …Information Criterion for Nonparametric Model-Assisted Survey Estimators 1 Introduction In… …Nonparametric models can be used to better approximate nonlinear relationships. These models relax… 

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

APA (6th Edition):

James, A. (2016). Information Criterion for Nonparametric Model-Assisted Survey Estimators. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/59759

Chicago Manual of Style (16th Edition):

James, Addison. “Information Criterion for Nonparametric Model-Assisted Survey Estimators.” 2016. Doctoral Dissertation, Oregon State University. Accessed September 23, 2019. http://hdl.handle.net/1957/59759.

MLA Handbook (7th Edition):

James, Addison. “Information Criterion for Nonparametric Model-Assisted Survey Estimators.” 2016. Web. 23 Sep 2019.

Vancouver:

James A. Information Criterion for Nonparametric Model-Assisted Survey Estimators. [Internet] [Doctoral dissertation]. Oregon State University; 2016. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1957/59759.

Council of Science Editors:

James A. Information Criterion for Nonparametric Model-Assisted Survey Estimators. [Doctoral Dissertation]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/59759

18. Dong, Lei. Nonparametric tests for longitudinal data.

Degree: MS, Department of Statistics, 2009, Kansas State University

 The purpose of this report is to numerically compare several tests that are applicable to longitudinal data when the experiment contains a large number of… (more)

Subjects/Keywords: Longitudinal data; Nonparametric tests; Statistics (0463)

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APA (6th Edition):

Dong, L. (2009). Nonparametric tests for longitudinal data. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/2295

Chicago Manual of Style (16th Edition):

Dong, Lei. “Nonparametric tests for longitudinal data.” 2009. Masters Thesis, Kansas State University. Accessed September 23, 2019. http://hdl.handle.net/2097/2295.

MLA Handbook (7th Edition):

Dong, Lei. “Nonparametric tests for longitudinal data.” 2009. Web. 23 Sep 2019.

Vancouver:

Dong L. Nonparametric tests for longitudinal data. [Internet] [Masters thesis]. Kansas State University; 2009. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/2097/2295.

Council of Science Editors:

Dong L. Nonparametric tests for longitudinal data. [Masters Thesis]. Kansas State University; 2009. Available from: http://hdl.handle.net/2097/2295


University of Michigan

19. Vandermeulen, Robert A. Functional Analytic Perspectives on Nonparametric Density Estimation.

Degree: PhD, Electrical Engineering: Systems, 2016, University of Michigan

Nonparametric density estimation is a classic problem in statistics. In the standard estimation setting, when one has access to iid samples from an unknown distribution,… (more)

Subjects/Keywords: Nonparametric Statistics; Machine Learning; Electrical Engineering; Engineering

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APA (6th Edition):

Vandermeulen, R. A. (2016). Functional Analytic Perspectives on Nonparametric Density Estimation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/133205

Chicago Manual of Style (16th Edition):

Vandermeulen, Robert A. “Functional Analytic Perspectives on Nonparametric Density Estimation.” 2016. Doctoral Dissertation, University of Michigan. Accessed September 23, 2019. http://hdl.handle.net/2027.42/133205.

MLA Handbook (7th Edition):

Vandermeulen, Robert A. “Functional Analytic Perspectives on Nonparametric Density Estimation.” 2016. Web. 23 Sep 2019.

Vancouver:

Vandermeulen RA. Functional Analytic Perspectives on Nonparametric Density Estimation. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/2027.42/133205.

Council of Science Editors:

Vandermeulen RA. Functional Analytic Perspectives on Nonparametric Density Estimation. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/133205


University of Washington

20. Mohammed, Kitty. Statistical Methods for Manifold Recovery and C^{1, 1} Regression on Manifolds.

Degree: PhD, 2019, University of Washington

 High-dimensional data sets often have lower-dimensional structure taking the form of a submanifold of a Euclidean space. It is challenging but necessary to develop statistical… (more)

Subjects/Keywords: machine learning; manifold learning; nonparametric regression; statistics; Statistics; Statistics

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APA (6th Edition):

Mohammed, K. (2019). Statistical Methods for Manifold Recovery and C^{1, 1} Regression on Manifolds. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43748

Chicago Manual of Style (16th Edition):

Mohammed, Kitty. “Statistical Methods for Manifold Recovery and C^{1, 1} Regression on Manifolds.” 2019. Doctoral Dissertation, University of Washington. Accessed September 23, 2019. http://hdl.handle.net/1773/43748.

MLA Handbook (7th Edition):

Mohammed, Kitty. “Statistical Methods for Manifold Recovery and C^{1, 1} Regression on Manifolds.” 2019. Web. 23 Sep 2019.

Vancouver:

Mohammed K. Statistical Methods for Manifold Recovery and C^{1, 1} Regression on Manifolds. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1773/43748.

Council of Science Editors:

Mohammed K. Statistical Methods for Manifold Recovery and C^{1, 1} Regression on Manifolds. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/43748


University of Florida

21. Ireson, Michael J., 1942-. Nonparametric regression in the analysis of survival data.

Degree: 1983, University of Florida

Subjects/Keywords: Censored data; Censorship; Confidence interval; Estimation methods; Permutations; Point estimators; Sample size; Simulations; Statistical discrepancies; Subroutines; Failure time data analysis ( fast ); Nonparametric statistics ( fast ); Regression analysis ( fast )

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APA (6th Edition):

Ireson, Michael J., 1. (1983). Nonparametric regression in the analysis of survival data. (Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/AA00032928

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):

Ireson, Michael J., 1942-. “Nonparametric regression in the analysis of survival data.” 1983. Thesis, University of Florida. Accessed September 23, 2019. http://ufdc.ufl.edu/AA00032928.

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

MLA Handbook (7th Edition):

Ireson, Michael J., 1942-. “Nonparametric regression in the analysis of survival data.” 1983. Web. 23 Sep 2019.

Vancouver:

Ireson, Michael J. 1. Nonparametric regression in the analysis of survival data. [Internet] [Thesis]. University of Florida; 1983. [cited 2019 Sep 23]. Available from: http://ufdc.ufl.edu/AA00032928.

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

Council of Science Editors:

Ireson, Michael J. 1. Nonparametric regression in the analysis of survival data. [Thesis]. University of Florida; 1983. Available from: http://ufdc.ufl.edu/AA00032928

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


University of Southern California

22. Kryshchenko (Chubatiuk), Alona. Nonparametric estimation of an unknown probability distribution using maximum likelihood and Bayesian approaches.

Degree: PhD, Applied Mathematics, 2013, University of Southern California

 Suppose we observe a random sample Y₁,...,YN, of independent but not necessarily identically distributed random variables Yᵢ,∈ ℝᵈ, for i = 1,...,N. Assume also that… (more)

Subjects/Keywords: statistics; nonparametric population analysis; applied statistics; population pharmacokinetics theory; nonparametric maximum likelihood estimation; nonparametric Bayesian estimation

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APA (6th Edition):

Kryshchenko (Chubatiuk), A. (2013). Nonparametric estimation of an unknown probability distribution using maximum likelihood and Bayesian approaches. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/309797/rec/4448

Chicago Manual of Style (16th Edition):

Kryshchenko (Chubatiuk), Alona. “Nonparametric estimation of an unknown probability distribution using maximum likelihood and Bayesian approaches.” 2013. Doctoral Dissertation, University of Southern California. Accessed September 23, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/309797/rec/4448.

MLA Handbook (7th Edition):

Kryshchenko (Chubatiuk), Alona. “Nonparametric estimation of an unknown probability distribution using maximum likelihood and Bayesian approaches.” 2013. Web. 23 Sep 2019.

Vancouver:

Kryshchenko (Chubatiuk) A. Nonparametric estimation of an unknown probability distribution using maximum likelihood and Bayesian approaches. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Sep 23]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/309797/rec/4448.

Council of Science Editors:

Kryshchenko (Chubatiuk) A. Nonparametric estimation of an unknown probability distribution using maximum likelihood and Bayesian approaches. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/309797/rec/4448


University of Minnesota

23. Wang, Xu. Searching, Clustering and Regression on non-Euclidean Spaces.

Degree: PhD, Mathematics, 2015, University of Minnesota

 This dissertation considers three common tasks (e.g., searching, clustering, regression) over Riemannian spaces. The first task considers the problem of efficiently deciding which of a… (more)

Subjects/Keywords: Bayesian; Clustering; Fast search; Manifold; Nonparametric regression; Spectral clustering

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APA (6th Edition):

Wang, X. (2015). Searching, Clustering and Regression on non-Euclidean Spaces. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175554

Chicago Manual of Style (16th Edition):

Wang, Xu. “Searching, Clustering and Regression on non-Euclidean Spaces.” 2015. Doctoral Dissertation, University of Minnesota. Accessed September 23, 2019. http://hdl.handle.net/11299/175554.

MLA Handbook (7th Edition):

Wang, Xu. “Searching, Clustering and Regression on non-Euclidean Spaces.” 2015. Web. 23 Sep 2019.

Vancouver:

Wang X. Searching, Clustering and Regression on non-Euclidean Spaces. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/11299/175554.

Council of Science Editors:

Wang X. Searching, Clustering and Regression on non-Euclidean Spaces. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175554


The Ohio State University

24. Rust, Steven Wayne. Robust nonparametric procedures for the several sample location problem.

Degree: PhD, Graduate School, 1981, The Ohio State University

Subjects/Keywords: Statistics; Sampling; Nonparametric statistics

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APA (6th Edition):

Rust, S. W. (1981). Robust nonparametric procedures for the several sample location problem. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1487162694691437

Chicago Manual of Style (16th Edition):

Rust, Steven Wayne. “Robust nonparametric procedures for the several sample location problem.” 1981. Doctoral Dissertation, The Ohio State University. Accessed September 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487162694691437.

MLA Handbook (7th Edition):

Rust, Steven Wayne. “Robust nonparametric procedures for the several sample location problem.” 1981. Web. 23 Sep 2019.

Vancouver:

Rust SW. Robust nonparametric procedures for the several sample location problem. [Internet] [Doctoral dissertation]. The Ohio State University; 1981. [cited 2019 Sep 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1487162694691437.

Council of Science Editors:

Rust SW. Robust nonparametric procedures for the several sample location problem. [Doctoral Dissertation]. The Ohio State University; 1981. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1487162694691437


The Ohio State University

25. Willavize, Susan Anne. Nonparametric discrimination : a comparative study of several methods for the univariate, two-sample case.

Degree: PhD, Graduate School, 1984, The Ohio State University

Subjects/Keywords: Statistics; Nonparametric statistics; Sampling

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APA (6th Edition):

Willavize, S. A. (1984). Nonparametric discrimination : a comparative study of several methods for the univariate, two-sample case. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1487255347426625

Chicago Manual of Style (16th Edition):

Willavize, Susan Anne. “Nonparametric discrimination : a comparative study of several methods for the univariate, two-sample case.” 1984. Doctoral Dissertation, The Ohio State University. Accessed September 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487255347426625.

MLA Handbook (7th Edition):

Willavize, Susan Anne. “Nonparametric discrimination : a comparative study of several methods for the univariate, two-sample case.” 1984. Web. 23 Sep 2019.

Vancouver:

Willavize SA. Nonparametric discrimination : a comparative study of several methods for the univariate, two-sample case. [Internet] [Doctoral dissertation]. The Ohio State University; 1984. [cited 2019 Sep 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1487255347426625.

Council of Science Editors:

Willavize SA. Nonparametric discrimination : a comparative study of several methods for the univariate, two-sample case. [Doctoral Dissertation]. The Ohio State University; 1984. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1487255347426625


University of Hong Kong

26. Wei, Bei. Nonparametric statistical methods based on depth function and bootstrap.

Degree: PhD, 2010, University of Hong Kong

published_or_final_version

Statistics and Actuarial Science

Doctoral

Doctor of Philosophy

Advisors/Committee Members: Lee, SMS.

Subjects/Keywords: Nonparametric statistics.; Bootstrap (Statistics)

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APA (6th Edition):

Wei, B. (2010). Nonparametric statistical methods based on depth function and bootstrap. (Doctoral Dissertation). University of Hong Kong. Retrieved from Wei, B. [魏孛]. (2010). Nonparametric statistical methods based on depth function and bootstrap. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4414197 ; http://dx.doi.org/10.5353/th_b4414197 ; http://hdl.handle.net/10722/61042

Chicago Manual of Style (16th Edition):

Wei, Bei. “Nonparametric statistical methods based on depth function and bootstrap.” 2010. Doctoral Dissertation, University of Hong Kong. Accessed September 23, 2019. Wei, B. [魏孛]. (2010). Nonparametric statistical methods based on depth function and bootstrap. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4414197 ; http://dx.doi.org/10.5353/th_b4414197 ; http://hdl.handle.net/10722/61042.

MLA Handbook (7th Edition):

Wei, Bei. “Nonparametric statistical methods based on depth function and bootstrap.” 2010. Web. 23 Sep 2019.

Vancouver:

Wei B. Nonparametric statistical methods based on depth function and bootstrap. [Internet] [Doctoral dissertation]. University of Hong Kong; 2010. [cited 2019 Sep 23]. Available from: Wei, B. [魏孛]. (2010). Nonparametric statistical methods based on depth function and bootstrap. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4414197 ; http://dx.doi.org/10.5353/th_b4414197 ; http://hdl.handle.net/10722/61042.

Council of Science Editors:

Wei B. Nonparametric statistical methods based on depth function and bootstrap. [Doctoral Dissertation]. University of Hong Kong; 2010. Available from: Wei, B. [魏孛]. (2010). Nonparametric statistical methods based on depth function and bootstrap. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4414197 ; http://dx.doi.org/10.5353/th_b4414197 ; http://hdl.handle.net/10722/61042

27. Ndungu, Alfred Mungai. A Nonparametric Test for the Non-Decreasing Alternative in an Incomplete Block Design.

Degree: MS, Statistics, 2011, North Dakota State University

 The purpose of this paper is to present a new nonparametric test statistic for testing against ordered alternatives in a Balanced Incomplete Block Design (BIBD).… (more)

Subjects/Keywords: Incomplete block designs.; Nonparametric statistics.; Ranking and selection (Statistics)

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APA (6th Edition):

Ndungu, A. M. (2011). A Nonparametric Test for the Non-Decreasing Alternative in an Incomplete Block Design. (Masters Thesis). North Dakota State University. Retrieved from http://hdl.handle.net/10365/29772

Chicago Manual of Style (16th Edition):

Ndungu, Alfred Mungai. “A Nonparametric Test for the Non-Decreasing Alternative in an Incomplete Block Design.” 2011. Masters Thesis, North Dakota State University. Accessed September 23, 2019. http://hdl.handle.net/10365/29772.

MLA Handbook (7th Edition):

Ndungu, Alfred Mungai. “A Nonparametric Test for the Non-Decreasing Alternative in an Incomplete Block Design.” 2011. Web. 23 Sep 2019.

Vancouver:

Ndungu AM. A Nonparametric Test for the Non-Decreasing Alternative in an Incomplete Block Design. [Internet] [Masters thesis]. North Dakota State University; 2011. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/10365/29772.

Council of Science Editors:

Ndungu AM. A Nonparametric Test for the Non-Decreasing Alternative in an Incomplete Block Design. [Masters Thesis]. North Dakota State University; 2011. Available from: http://hdl.handle.net/10365/29772


University of New Mexico

28. Nosedal-Sanchez, Alvaro. Adaptive weighting for flexible estimation in nonparametric regression models.

Degree: Mathematics & Statistics, 2011, University of New Mexico

 We propose a new method to find spatially adaptive smoothing splines. This new method breaks down the interval [0, 1] into p disjoint sub-intervals. Then… (more)

Subjects/Keywords: Smoothing (Statistics); Estimation theory; Regression analysis; Nonparametric statistics.

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APA (6th Edition):

Nosedal-Sanchez, A. (2011). Adaptive weighting for flexible estimation in nonparametric regression models. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/12844

Chicago Manual of Style (16th Edition):

Nosedal-Sanchez, Alvaro. “Adaptive weighting for flexible estimation in nonparametric regression models.” 2011. Doctoral Dissertation, University of New Mexico. Accessed September 23, 2019. http://hdl.handle.net/1928/12844.

MLA Handbook (7th Edition):

Nosedal-Sanchez, Alvaro. “Adaptive weighting for flexible estimation in nonparametric regression models.” 2011. Web. 23 Sep 2019.

Vancouver:

Nosedal-Sanchez A. Adaptive weighting for flexible estimation in nonparametric regression models. [Internet] [Doctoral dissertation]. University of New Mexico; 2011. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1928/12844.

Council of Science Editors:

Nosedal-Sanchez A. Adaptive weighting for flexible estimation in nonparametric regression models. [Doctoral Dissertation]. University of New Mexico; 2011. Available from: http://hdl.handle.net/1928/12844


Michigan State University

29. He, Tao, Ph. D. Kernel-based nonparametric testing in high-dimensional data with applications to gene set analysis.

Degree: 2015, Michigan State University

Thesis Ph. D. Michigan State University. Statistics 2015

The ultimate goal of genome-wide association studies (GWAS) is understanding the underlying relationship between genetic variants and… (more)

Subjects/Keywords: Genetics – Simulation methods; Kernel functions; Nonparametric statistics; Statistics; Biostatistics

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APA (6th Edition):

He, Tao, P. D. (2015). Kernel-based nonparametric testing in high-dimensional data with applications to gene set analysis. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:3667

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):

He, Tao, Ph D. “Kernel-based nonparametric testing in high-dimensional data with applications to gene set analysis.” 2015. Thesis, Michigan State University. Accessed September 23, 2019. http://etd.lib.msu.edu/islandora/object/etd:3667.

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

MLA Handbook (7th Edition):

He, Tao, Ph D. “Kernel-based nonparametric testing in high-dimensional data with applications to gene set analysis.” 2015. Web. 23 Sep 2019.

Vancouver:

He, Tao PD. Kernel-based nonparametric testing in high-dimensional data with applications to gene set analysis. [Internet] [Thesis]. Michigan State University; 2015. [cited 2019 Sep 23]. Available from: http://etd.lib.msu.edu/islandora/object/etd:3667.

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

Council of Science Editors:

He, Tao PD. Kernel-based nonparametric testing in high-dimensional data with applications to gene set analysis. [Thesis]. Michigan State University; 2015. Available from: http://etd.lib.msu.edu/islandora/object/etd:3667

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


Rutgers University

30. Yang, Ting, 1988-. Penalized functional ANOVA modeling and large-scale logistic regression.

Degree: PhD, Nonparametric models, 2019, Rutgers University

This dissertation contains two parts. In the first part, we develop backfitting algorithms for doubly penalized additive and ANOVA modeling using total variation penalties carefully… (more)

Subjects/Keywords: Statistics and Biostatistics; Analysis of variance; Nonparametric statistics

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APA (6th Edition):

Yang, Ting, 1. (2019). Penalized functional ANOVA modeling and large-scale logistic regression. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/61047/

Chicago Manual of Style (16th Edition):

Yang, Ting, 1988-. “Penalized functional ANOVA modeling and large-scale logistic regression.” 2019. Doctoral Dissertation, Rutgers University. Accessed September 23, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/61047/.

MLA Handbook (7th Edition):

Yang, Ting, 1988-. “Penalized functional ANOVA modeling and large-scale logistic regression.” 2019. Web. 23 Sep 2019.

Vancouver:

Yang, Ting 1. Penalized functional ANOVA modeling and large-scale logistic regression. [Internet] [Doctoral dissertation]. Rutgers University; 2019. [cited 2019 Sep 23]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61047/.

Council of Science Editors:

Yang, Ting 1. Penalized functional ANOVA modeling and large-scale logistic regression. [Doctoral Dissertation]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61047/

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