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▼ Search Limiters

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

URL: http://hdl.handle.net/10365/26696

► *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.

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10948/19706

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: http://hdl.handle.net/10365/28836

► 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.

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1969.1/ETD-TAMU-1867

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1957/59111

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1957/28595

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholarworks.umt.edu/etd/10006

Subjects/Keywords: Nonparametric statistics.

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10161/16370

► 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

Record Details Similar Records

❌

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1957/33302

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2097/9430

Subjects/Keywords: Nonparametric statistics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://etd.lib.msu.edu/islandora/object/etd:4233

►

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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052210

►

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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486736568275934

Subjects/Keywords: Statistics; Nonparametric statistics

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486985327535784

Subjects/Keywords: Statistics; Nonparametric statistics

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/11343/35462

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://cardinalscholar.bsu.edu/handle/123456789/200302

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1957/59759

► *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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2097/2295

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/133205

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1773/43748

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/AA00032928

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/309797/rec/4448

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/11299/175554

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1487162694691437

Subjects/Keywords: Statistics; Sampling; Nonparametric statistics

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1487255347426625

Subjects/Keywords: Statistics; Nonparametric statistics; Sampling

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: 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

published_or_final_version

Statistics and Actuarial Science

Doctoral

Doctor of Philosophy

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10365/29772

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1928/12844

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://etd.lib.msu.edu/islandora/object/etd:3667

►

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/61047/

►

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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/