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You searched for subject:(NONPARAMETRIC ESTIMATION MATHEMATICAL STATISTICS ). Showing records 1 – 30 of 37610 total matches.

[1] [2] [3] [4] [5] … [1254]

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Nelson Mandela Metropolitan University

1. [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 July 17, 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. 17 Jul 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 Jul 17]. 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


Hong Kong University of Science and Technology

2. Zhang, Hanghui. Essays on semiparametric estimations of the binary choice model and the general heteroskedastic transformation model.

Degree: 2013, Hong Kong University of Science and Technology

 This dissertation focuses on the research on the semiparametric and nonparametric identification and estimation of the binary choice model and the general heteroskedastic transformation regression… (more)

Subjects/Keywords: Econometrics; Mathematical models; Nonparametric statistics; Estimation theory; Regression analysis

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APA (6th Edition):

Zhang, H. (2013). Essays on semiparametric estimations of the binary choice model and the general heteroskedastic transformation model. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1256226 ; http://repository.ust.hk/ir/bitstream/1783.1-62250/1/th_redirect.html

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

Chicago Manual of Style (16th Edition):

Zhang, Hanghui. “Essays on semiparametric estimations of the binary choice model and the general heteroskedastic transformation model.” 2013. Thesis, Hong Kong University of Science and Technology. Accessed July 17, 2019. https://doi.org/10.14711/thesis-b1256226 ; http://repository.ust.hk/ir/bitstream/1783.1-62250/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Zhang, Hanghui. “Essays on semiparametric estimations of the binary choice model and the general heteroskedastic transformation model.” 2013. Web. 17 Jul 2019.

Vancouver:

Zhang H. Essays on semiparametric estimations of the binary choice model and the general heteroskedastic transformation model. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2013. [cited 2019 Jul 17]. Available from: https://doi.org/10.14711/thesis-b1256226 ; http://repository.ust.hk/ir/bitstream/1783.1-62250/1/th_redirect.html.

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

Council of Science Editors:

Zhang H. Essays on semiparametric estimations of the binary choice model and the general heteroskedastic transformation model. [Thesis]. Hong Kong University of Science and Technology; 2013. Available from: https://doi.org/10.14711/thesis-b1256226 ; http://repository.ust.hk/ir/bitstream/1783.1-62250/1/th_redirect.html

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


Rutgers University

3. Zhang, Huiying. Essays on semiparametric cox proportional hazard models:.

Degree: PhD, Economics, 2009, Rutgers University

In this dissertation I study different versions of the semiparametric proportional hazard duration model and their practical applications under both frequentist and Bayesian econometrics frameworks.… (more)

Subjects/Keywords: Nonparametric statistics; Estimation theory

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APA (6th Edition):

Zhang, H. (2009). Essays on semiparametric cox proportional hazard models:. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051930

Chicago Manual of Style (16th Edition):

Zhang, Huiying. “Essays on semiparametric cox proportional hazard models:.” 2009. Doctoral Dissertation, Rutgers University. Accessed July 17, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051930.

MLA Handbook (7th Edition):

Zhang, Huiying. “Essays on semiparametric cox proportional hazard models:.” 2009. Web. 17 Jul 2019.

Vancouver:

Zhang H. Essays on semiparametric cox proportional hazard models:. [Internet] [Doctoral dissertation]. Rutgers University; 2009. [cited 2019 Jul 17]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051930.

Council of Science Editors:

Zhang H. Essays on semiparametric cox proportional hazard models:. [Doctoral Dissertation]. Rutgers University; 2009. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051930

4. 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 July 17, 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. 17 Jul 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 Jul 17]. 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


Columbia University

5. Hirshberg, David Abraham. Minimax-inspired Semiparametric Estimation and Causal Inference.

Degree: 2018, Columbia University

 This thesis focuses on estimation and inference for a large class of semiparametric estimands: the class of continuous functionals of regression functions. This class includes… (more)

Subjects/Keywords: Statistics; Parameter estimation; Mathematical statistics

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APA (6th Edition):

Hirshberg, D. A. (2018). Minimax-inspired Semiparametric Estimation and Causal Inference. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D86Q3F30

Chicago Manual of Style (16th Edition):

Hirshberg, David Abraham. “Minimax-inspired Semiparametric Estimation and Causal Inference.” 2018. Doctoral Dissertation, Columbia University. Accessed July 17, 2019. https://doi.org/10.7916/D86Q3F30.

MLA Handbook (7th Edition):

Hirshberg, David Abraham. “Minimax-inspired Semiparametric Estimation and Causal Inference.” 2018. Web. 17 Jul 2019.

Vancouver:

Hirshberg DA. Minimax-inspired Semiparametric Estimation and Causal Inference. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2019 Jul 17]. Available from: https://doi.org/10.7916/D86Q3F30.

Council of Science Editors:

Hirshberg DA. Minimax-inspired Semiparametric Estimation and Causal Inference. [Doctoral Dissertation]. Columbia University; 2018. Available from: https://doi.org/10.7916/D86Q3F30


University of Southern California

6. 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 July 17, 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. 17 Jul 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 Jul 17]. 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


Penn State University

7. Wang, Qing. Topics in U-statistics and Risk Estimation.

Degree: MS, Statistics, 2010, Penn State University

 We consider estimating the variance of a general U-statistic when it is used as an unbiased estimator of the parameter of interest theta=E(K) where K… (more)

Subjects/Keywords: U-statistics; resampling; nonparametric kernel density estimation; risk estimation

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APA (6th Edition):

Wang, Q. (2010). Topics in U-statistics and Risk Estimation. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/11410

Chicago Manual of Style (16th Edition):

Wang, Qing. “Topics in U-statistics and Risk Estimation.” 2010. Masters Thesis, Penn State University. Accessed July 17, 2019. https://etda.libraries.psu.edu/catalog/11410.

MLA Handbook (7th Edition):

Wang, Qing. “Topics in U-statistics and Risk Estimation.” 2010. Web. 17 Jul 2019.

Vancouver:

Wang Q. Topics in U-statistics and Risk Estimation. [Internet] [Masters thesis]. Penn State University; 2010. [cited 2019 Jul 17]. Available from: https://etda.libraries.psu.edu/catalog/11410.

Council of Science Editors:

Wang Q. Topics in U-statistics and Risk Estimation. [Masters Thesis]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/11410


The Ohio State University

8. Blake, Tayler Ann, Blake. Nonparametric Covariance Estimation for Longitudinal Data.

Degree: PhD, Statistics, 2018, The Ohio State University

Estimation of an unstructured covariance matrix is difficult because of the challenges posed by parameter space dimensionality and the positive definiteness constraint that estimates should… (more)

Subjects/Keywords: Statistics; longitudinal data, Hilbert space, nonparametric function estimation, covariance estimation

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APA (6th Edition):

Blake, Tayler Ann, B. (2018). Nonparametric Covariance Estimation for Longitudinal Data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu15256491898913

Chicago Manual of Style (16th Edition):

Blake, Tayler Ann, Blake. “Nonparametric Covariance Estimation for Longitudinal Data.” 2018. Doctoral Dissertation, The Ohio State University. Accessed July 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu15256491898913.

MLA Handbook (7th Edition):

Blake, Tayler Ann, Blake. “Nonparametric Covariance Estimation for Longitudinal Data.” 2018. Web. 17 Jul 2019.

Vancouver:

Blake, Tayler Ann B. Nonparametric Covariance Estimation for Longitudinal Data. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2019 Jul 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu15256491898913.

Council of Science Editors:

Blake, Tayler Ann B. Nonparametric Covariance Estimation for Longitudinal Data. [Doctoral Dissertation]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu15256491898913


University of New Mexico

9. 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 July 17, 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. 17 Jul 2019.

Vancouver:

Nosedal-Sanchez A. Adaptive weighting for flexible estimation in nonparametric regression models. [Internet] [Doctoral dissertation]. University of New Mexico; 2011. [cited 2019 Jul 17]. 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


University of Arizona

10. Frierson, Dargan, 1946-. A NONPARAMETRIC APPROACH TO SEQUENTIAL DETECTION OF SMALL CHANGES IN DISTRIBUTION .

Degree: 1977, University of Arizona

Subjects/Keywords: Mathematical statistics.; Nonparametric statistics.

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APA (6th Edition):

Frierson, Dargan, 1. (1977). A NONPARAMETRIC APPROACH TO SEQUENTIAL DETECTION OF SMALL CHANGES IN DISTRIBUTION . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/289648

Chicago Manual of Style (16th Edition):

Frierson, Dargan, 1946-. “A NONPARAMETRIC APPROACH TO SEQUENTIAL DETECTION OF SMALL CHANGES IN DISTRIBUTION .” 1977. Doctoral Dissertation, University of Arizona. Accessed July 17, 2019. http://hdl.handle.net/10150/289648.

MLA Handbook (7th Edition):

Frierson, Dargan, 1946-. “A NONPARAMETRIC APPROACH TO SEQUENTIAL DETECTION OF SMALL CHANGES IN DISTRIBUTION .” 1977. Web. 17 Jul 2019.

Vancouver:

Frierson, Dargan 1. A NONPARAMETRIC APPROACH TO SEQUENTIAL DETECTION OF SMALL CHANGES IN DISTRIBUTION . [Internet] [Doctoral dissertation]. University of Arizona; 1977. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/10150/289648.

Council of Science Editors:

Frierson, Dargan 1. A NONPARAMETRIC APPROACH TO SEQUENTIAL DETECTION OF SMALL CHANGES IN DISTRIBUTION . [Doctoral Dissertation]. University of Arizona; 1977. Available from: http://hdl.handle.net/10150/289648


University of California – Irvine

11. Vegetabile, Brian Garrett. Methods for Optimal Covariate Balance in Observational Studies for Causal Inference.

Degree: Statistics, 2018, University of California – Irvine

 The most basic approach to causal inference measures the response of a system or population to different exposures, or treatments, and compares one or more… (more)

Subjects/Keywords: Statistics; Balancing Scores; Causal Inference; Nonparametric Estimation; Optimization; Propensity Scores

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APA (6th Edition):

Vegetabile, B. G. (2018). Methods for Optimal Covariate Balance in Observational Studies for Causal Inference. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/9f65n5h1

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):

Vegetabile, Brian Garrett. “Methods for Optimal Covariate Balance in Observational Studies for Causal Inference.” 2018. Thesis, University of California – Irvine. Accessed July 17, 2019. http://www.escholarship.org/uc/item/9f65n5h1.

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

MLA Handbook (7th Edition):

Vegetabile, Brian Garrett. “Methods for Optimal Covariate Balance in Observational Studies for Causal Inference.” 2018. Web. 17 Jul 2019.

Vancouver:

Vegetabile BG. Methods for Optimal Covariate Balance in Observational Studies for Causal Inference. [Internet] [Thesis]. University of California – Irvine; 2018. [cited 2019 Jul 17]. Available from: http://www.escholarship.org/uc/item/9f65n5h1.

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

Council of Science Editors:

Vegetabile BG. Methods for Optimal Covariate Balance in Observational Studies for Causal Inference. [Thesis]. University of California – Irvine; 2018. Available from: http://www.escholarship.org/uc/item/9f65n5h1

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


Duke University

12. PETRALIA, FRANCESCA. Structured Bayesian learning through mixture models .

Degree: 2013, Duke University

  In this thesis, we develop some Bayesian mixture density estimation for univariate and multivariate data. We start proposing a repulsive process favoring mixture components… (more)

Subjects/Keywords: Statistics; Bayesian density estimation; Bayesian Nonparametric; Mixture Models

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APA (6th Edition):

PETRALIA, F. (2013). Structured Bayesian learning through mixture models . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/8065

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):

PETRALIA, FRANCESCA. “Structured Bayesian learning through mixture models .” 2013. Thesis, Duke University. Accessed July 17, 2019. http://hdl.handle.net/10161/8065.

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

MLA Handbook (7th Edition):

PETRALIA, FRANCESCA. “Structured Bayesian learning through mixture models .” 2013. Web. 17 Jul 2019.

Vancouver:

PETRALIA F. Structured Bayesian learning through mixture models . [Internet] [Thesis]. Duke University; 2013. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/10161/8065.

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

Council of Science Editors:

PETRALIA F. Structured Bayesian learning through mixture models . [Thesis]. Duke University; 2013. Available from: http://hdl.handle.net/10161/8065

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


University of Cambridge

13. Berrett, Thomas Benjamin. Modern k-nearest neighbour methods in entropy estimation, independence testing and classification.

Degree: PhD, 2017, University of Cambridge

 Nearest neighbour methods are a classical approach in nonparametric statistics. The k-nearest neighbour classifier can be traced back to the seminal work of Fix and… (more)

Subjects/Keywords: 519.5; Nonparametric statistics; Nearest neighbour methods; Entropy Estimation; Independence Testing; Classification

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APA (6th Edition):

Berrett, T. B. (2017). Modern k-nearest neighbour methods in entropy estimation, independence testing and classification. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/267832 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.725564

Chicago Manual of Style (16th Edition):

Berrett, Thomas Benjamin. “Modern k-nearest neighbour methods in entropy estimation, independence testing and classification.” 2017. Doctoral Dissertation, University of Cambridge. Accessed July 17, 2019. https://www.repository.cam.ac.uk/handle/1810/267832 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.725564.

MLA Handbook (7th Edition):

Berrett, Thomas Benjamin. “Modern k-nearest neighbour methods in entropy estimation, independence testing and classification.” 2017. Web. 17 Jul 2019.

Vancouver:

Berrett TB. Modern k-nearest neighbour methods in entropy estimation, independence testing and classification. [Internet] [Doctoral dissertation]. University of Cambridge; 2017. [cited 2019 Jul 17]. Available from: https://www.repository.cam.ac.uk/handle/1810/267832 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.725564.

Council of Science Editors:

Berrett TB. Modern k-nearest neighbour methods in entropy estimation, independence testing and classification. [Doctoral Dissertation]. University of Cambridge; 2017. Available from: https://www.repository.cam.ac.uk/handle/1810/267832 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.725564


University of Cambridge

14. Berrett, Thomas Benjamin. Modern k-Nearest Neighbour Methods in Entropy Estimation, Independence Testing and Classification .

Degree: 2017, University of Cambridge

 Nearest neighbour methods are a classical approach in nonparametric statistics. The k-nearest neighbour classifier can be traced back to the seminal work of Fix and… (more)

Subjects/Keywords: Nonparametric statistics; Nearest neighbour methods; Entropy Estimation; Independence Testing; Classification

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APA (6th Edition):

Berrett, T. B. (2017). Modern k-Nearest Neighbour Methods in Entropy Estimation, Independence Testing and Classification . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/267832

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):

Berrett, Thomas Benjamin. “Modern k-Nearest Neighbour Methods in Entropy Estimation, Independence Testing and Classification .” 2017. Thesis, University of Cambridge. Accessed July 17, 2019. https://www.repository.cam.ac.uk/handle/1810/267832.

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

MLA Handbook (7th Edition):

Berrett, Thomas Benjamin. “Modern k-Nearest Neighbour Methods in Entropy Estimation, Independence Testing and Classification .” 2017. Web. 17 Jul 2019.

Vancouver:

Berrett TB. Modern k-Nearest Neighbour Methods in Entropy Estimation, Independence Testing and Classification . [Internet] [Thesis]. University of Cambridge; 2017. [cited 2019 Jul 17]. Available from: https://www.repository.cam.ac.uk/handle/1810/267832.

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

Council of Science Editors:

Berrett TB. Modern k-Nearest Neighbour Methods in Entropy Estimation, Independence Testing and Classification . [Thesis]. University of Cambridge; 2017. Available from: https://www.repository.cam.ac.uk/handle/1810/267832

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


Vrije Universiteit Amsterdam

15. Donauer, S. Asymptotics in Deconvolution Models: Approximating Perfect Knowledge .

Degree: 2009, Vrije Universiteit Amsterdam

Subjects/Keywords: Statistics; MLE; Nonparametric Estimation

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APA (6th Edition):

Donauer, S. (2009). Asymptotics in Deconvolution Models: Approximating Perfect Knowledge . (Doctoral Dissertation). Vrije Universiteit Amsterdam. Retrieved from http://hdl.handle.net/1871/31615

Chicago Manual of Style (16th Edition):

Donauer, S. “Asymptotics in Deconvolution Models: Approximating Perfect Knowledge .” 2009. Doctoral Dissertation, Vrije Universiteit Amsterdam. Accessed July 17, 2019. http://hdl.handle.net/1871/31615.

MLA Handbook (7th Edition):

Donauer, S. “Asymptotics in Deconvolution Models: Approximating Perfect Knowledge .” 2009. Web. 17 Jul 2019.

Vancouver:

Donauer S. Asymptotics in Deconvolution Models: Approximating Perfect Knowledge . [Internet] [Doctoral dissertation]. Vrije Universiteit Amsterdam; 2009. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1871/31615.

Council of Science Editors:

Donauer S. Asymptotics in Deconvolution Models: Approximating Perfect Knowledge . [Doctoral Dissertation]. Vrije Universiteit Amsterdam; 2009. Available from: http://hdl.handle.net/1871/31615


University of Minnesota

16. Kang, Yicheng. Edge detection and image restoration of blurred noisy images using jump regression analysis.

Degree: PhD, Statistics, 2013, University of Minnesota

 We consider the problem of edge-preserving image restoration when images are degraded by spatial blur and pointwise noise. When the spatial blur described by a… (more)

Subjects/Keywords: Blind image deblurring; Denoising; Edges; Nonparametric regression; Smoothing; Surface estimation; Statistics

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

APA (6th Edition):

Kang, Y. (2013). Edge detection and image restoration of blurred noisy images using jump regression analysis. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/167184

Chicago Manual of Style (16th Edition):

Kang, Yicheng. “Edge detection and image restoration of blurred noisy images using jump regression analysis.” 2013. Doctoral Dissertation, University of Minnesota. Accessed July 17, 2019. http://hdl.handle.net/11299/167184.

MLA Handbook (7th Edition):

Kang, Yicheng. “Edge detection and image restoration of blurred noisy images using jump regression analysis.” 2013. Web. 17 Jul 2019.

Vancouver:

Kang Y. Edge detection and image restoration of blurred noisy images using jump regression analysis. [Internet] [Doctoral dissertation]. University of Minnesota; 2013. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/11299/167184.

Council of Science Editors:

Kang Y. Edge detection and image restoration of blurred noisy images using jump regression analysis. [Doctoral Dissertation]. University of Minnesota; 2013. Available from: http://hdl.handle.net/11299/167184

17. Donauer, S. Asymptotics in Deconvolution Models: Approximating Perfect Knowledge.

Degree: 2009, NARCIS

Subjects/Keywords: MLE; Nonparametric Estimation; Statistics

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

APA (6th Edition):

Donauer, S. (2009). Asymptotics in Deconvolution Models: Approximating Perfect Knowledge. (Doctoral Dissertation). NARCIS. Retrieved from https://research.vu.nl/en/publications/d94e3481-f72a-437f-b26d-d6400ac5403f ; urn:nbn:nl:ui:31-1871/31615 ; d94e3481-f72a-437f-b26d-d6400ac5403f ; 1871/31615 ; urn:nbn:nl:ui:31-1871/31615 ; https://research.vu.nl/en/publications/d94e3481-f72a-437f-b26d-d6400ac5403f

Chicago Manual of Style (16th Edition):

Donauer, S. “Asymptotics in Deconvolution Models: Approximating Perfect Knowledge.” 2009. Doctoral Dissertation, NARCIS. Accessed July 17, 2019. https://research.vu.nl/en/publications/d94e3481-f72a-437f-b26d-d6400ac5403f ; urn:nbn:nl:ui:31-1871/31615 ; d94e3481-f72a-437f-b26d-d6400ac5403f ; 1871/31615 ; urn:nbn:nl:ui:31-1871/31615 ; https://research.vu.nl/en/publications/d94e3481-f72a-437f-b26d-d6400ac5403f.

MLA Handbook (7th Edition):

Donauer, S. “Asymptotics in Deconvolution Models: Approximating Perfect Knowledge.” 2009. Web. 17 Jul 2019.

Vancouver:

Donauer S. Asymptotics in Deconvolution Models: Approximating Perfect Knowledge. [Internet] [Doctoral dissertation]. NARCIS; 2009. [cited 2019 Jul 17]. Available from: https://research.vu.nl/en/publications/d94e3481-f72a-437f-b26d-d6400ac5403f ; urn:nbn:nl:ui:31-1871/31615 ; d94e3481-f72a-437f-b26d-d6400ac5403f ; 1871/31615 ; urn:nbn:nl:ui:31-1871/31615 ; https://research.vu.nl/en/publications/d94e3481-f72a-437f-b26d-d6400ac5403f.

Council of Science Editors:

Donauer S. Asymptotics in Deconvolution Models: Approximating Perfect Knowledge. [Doctoral Dissertation]. NARCIS; 2009. Available from: https://research.vu.nl/en/publications/d94e3481-f72a-437f-b26d-d6400ac5403f ; urn:nbn:nl:ui:31-1871/31615 ; d94e3481-f72a-437f-b26d-d6400ac5403f ; 1871/31615 ; urn:nbn:nl:ui:31-1871/31615 ; https://research.vu.nl/en/publications/d94e3481-f72a-437f-b26d-d6400ac5403f

18. Idrobo Rincon , Nicolas Alberto. Discrete Kernel Estimation and Its Applications .

Degree: 2014, Universidad de los Andes

 Una pregunta importante en probabilidad y estadística es la que trata con la función de densidad de probabilidad (FDP) subyacente a un conjunto dado de… (more)

Subjects/Keywords: Probability; Statistics; Kernel Estimation; Nonparametric estimation.

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

APA (6th Edition):

Idrobo Rincon , N. A. (2014). Discrete Kernel Estimation and Its Applications . (Thesis). Universidad de los Andes. Retrieved from http://documentodegrado.uniandes.edu.co/documentos/200521879_fecha_2014_01_14_hora_16_20_54_parte_1.pdf

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

Chicago Manual of Style (16th Edition):

Idrobo Rincon , Nicolas Alberto. “Discrete Kernel Estimation and Its Applications .” 2014. Thesis, Universidad de los Andes. Accessed July 17, 2019. http://documentodegrado.uniandes.edu.co/documentos/200521879_fecha_2014_01_14_hora_16_20_54_parte_1.pdf.

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

MLA Handbook (7th Edition):

Idrobo Rincon , Nicolas Alberto. “Discrete Kernel Estimation and Its Applications .” 2014. Web. 17 Jul 2019.

Vancouver:

Idrobo Rincon NA. Discrete Kernel Estimation and Its Applications . [Internet] [Thesis]. Universidad de los Andes; 2014. [cited 2019 Jul 17]. Available from: http://documentodegrado.uniandes.edu.co/documentos/200521879_fecha_2014_01_14_hora_16_20_54_parte_1.pdf.

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

Council of Science Editors:

Idrobo Rincon NA. Discrete Kernel Estimation and Its Applications . [Thesis]. Universidad de los Andes; 2014. Available from: http://documentodegrado.uniandes.edu.co/documentos/200521879_fecha_2014_01_14_hora_16_20_54_parte_1.pdf

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

19. 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 (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 July 17, 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. 17 Jul 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 Jul 17]. 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


The Ohio State University

20. Bean, Andrew Taylor. Transformations and Bayesian Estimation of Skewed and Heavy-Tailed Densities.

Degree: PhD, Statistics, 2017, The Ohio State University

 In data analysis applications characterized by large and possibly irregular data sets, nonparametric statistical techniques aim to ensure that, as the sample size grows, all… (more)

Subjects/Keywords: Statistics; density estimation; transformations; nonparametric statistics; Dirichlet process mixtures; heavy tails; regular variation

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

APA (6th Edition):

Bean, A. T. (2017). Transformations and Bayesian Estimation of Skewed and Heavy-Tailed Densities. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1503015935192212

Chicago Manual of Style (16th Edition):

Bean, Andrew Taylor. “Transformations and Bayesian Estimation of Skewed and Heavy-Tailed Densities.” 2017. Doctoral Dissertation, The Ohio State University. Accessed July 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1503015935192212.

MLA Handbook (7th Edition):

Bean, Andrew Taylor. “Transformations and Bayesian Estimation of Skewed and Heavy-Tailed Densities.” 2017. Web. 17 Jul 2019.

Vancouver:

Bean AT. Transformations and Bayesian Estimation of Skewed and Heavy-Tailed Densities. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2019 Jul 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1503015935192212.

Council of Science Editors:

Bean AT. Transformations and Bayesian Estimation of Skewed and Heavy-Tailed Densities. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1503015935192212


University of Hong Kong

21. Soleymani, Mehdi. Resampling algorithms for improved classification and estimation.

Degree: PhD, 2011, University of Hong Kong

published_or_final_version

Statistics and Actuarial Science

Doctoral

Doctor of Philosophy

Advisors/Committee Members: Lee, SMS.

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

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

APA (6th Edition):

Soleymani, M. (2011). Resampling algorithms for improved classification and estimation. (Doctoral Dissertation). University of Hong Kong. Retrieved from Soleymani, M.. (2011). Resampling algorithms for improved classification and estimation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4659218 ; http://dx.doi.org/10.5353/th_b4659218 ; http://hdl.handle.net/10722/143227

Chicago Manual of Style (16th Edition):

Soleymani, Mehdi. “Resampling algorithms for improved classification and estimation.” 2011. Doctoral Dissertation, University of Hong Kong. Accessed July 17, 2019. Soleymani, M.. (2011). Resampling algorithms for improved classification and estimation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4659218 ; http://dx.doi.org/10.5353/th_b4659218 ; http://hdl.handle.net/10722/143227.

MLA Handbook (7th Edition):

Soleymani, Mehdi. “Resampling algorithms for improved classification and estimation.” 2011. Web. 17 Jul 2019.

Vancouver:

Soleymani M. Resampling algorithms for improved classification and estimation. [Internet] [Doctoral dissertation]. University of Hong Kong; 2011. [cited 2019 Jul 17]. Available from: Soleymani, M.. (2011). Resampling algorithms for improved classification and estimation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4659218 ; http://dx.doi.org/10.5353/th_b4659218 ; http://hdl.handle.net/10722/143227.

Council of Science Editors:

Soleymani M. Resampling algorithms for improved classification and estimation. [Doctoral Dissertation]. University of Hong Kong; 2011. Available from: Soleymani, M.. (2011). Resampling algorithms for improved classification and estimation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4659218 ; http://dx.doi.org/10.5353/th_b4659218 ; http://hdl.handle.net/10722/143227


Temple University

22. Bruce, Scott Alan. STATISTICAL METHODS FOR SPECTRAL ANALYSIS OF NONSTATIONARY TIME SERIES.

Degree: PhD, 2018, Temple University

Statistics

This thesis proposes novel methods to address specific challenges in analyzing the frequency- and time-domain properties of nonstationary time series data motivated by the… (more)

Subjects/Keywords: Statistics;

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

APA (6th Edition):

Bruce, S. A. (2018). STATISTICAL METHODS FOR SPECTRAL ANALYSIS OF NONSTATIONARY TIME SERIES. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,487252

Chicago Manual of Style (16th Edition):

Bruce, Scott Alan. “STATISTICAL METHODS FOR SPECTRAL ANALYSIS OF NONSTATIONARY TIME SERIES.” 2018. Doctoral Dissertation, Temple University. Accessed July 17, 2019. http://digital.library.temple.edu/u?/p245801coll10,487252.

MLA Handbook (7th Edition):

Bruce, Scott Alan. “STATISTICAL METHODS FOR SPECTRAL ANALYSIS OF NONSTATIONARY TIME SERIES.” 2018. Web. 17 Jul 2019.

Vancouver:

Bruce SA. STATISTICAL METHODS FOR SPECTRAL ANALYSIS OF NONSTATIONARY TIME SERIES. [Internet] [Doctoral dissertation]. Temple University; 2018. [cited 2019 Jul 17]. Available from: http://digital.library.temple.edu/u?/p245801coll10,487252.

Council of Science Editors:

Bruce SA. STATISTICAL METHODS FOR SPECTRAL ANALYSIS OF NONSTATIONARY TIME SERIES. [Doctoral Dissertation]. Temple University; 2018. Available from: http://digital.library.temple.edu/u?/p245801coll10,487252

23. Gwaze, Arnold Rumosa. A cox proportional hazard model for mid-point imputed interval censored data.

Degree: Faculty of Science and Agriculture, 2011, University of Fort Hare

 There has been an increasing interest in survival analysis with interval-censored data, where the event of interest (such as infection with a disease) is not… (more)

Subjects/Keywords: Statistics – Econometric models; Survival analysis (Biometry); Mathematical statistics – Data processing; Nonparametric statistics; Sampling (Statistics); Multiple imputation (Statistics)

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

APA (6th Edition):

Gwaze, A. R. (2011). A cox proportional hazard model for mid-point imputed interval censored data. (Thesis). University of Fort Hare. Retrieved from http://hdl.handle.net/10353/385

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):

Gwaze, Arnold Rumosa. “A cox proportional hazard model for mid-point imputed interval censored data.” 2011. Thesis, University of Fort Hare. Accessed July 17, 2019. http://hdl.handle.net/10353/385.

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

MLA Handbook (7th Edition):

Gwaze, Arnold Rumosa. “A cox proportional hazard model for mid-point imputed interval censored data.” 2011. Web. 17 Jul 2019.

Vancouver:

Gwaze AR. A cox proportional hazard model for mid-point imputed interval censored data. [Internet] [Thesis]. University of Fort Hare; 2011. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/10353/385.

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

Council of Science Editors:

Gwaze AR. A cox proportional hazard model for mid-point imputed interval censored data. [Thesis]. University of Fort Hare; 2011. Available from: http://hdl.handle.net/10353/385

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

24. Fischer, Richard. Modélisation de la dépendance pour des statistiques d'ordre et estimation non-paramétrique. : Modelling the dependence of order statistics and nonparametric estimation.

Degree: Docteur es, Mathématiques, 2016, Université Paris-Est

Dans cette thèse, on considère la modélisation de la loi jointe des statistiques d'ordre, c.à.d. des vecteurs aléatoires avec des composantes ordonnées presque sûrement. La… (more)

Subjects/Keywords: Copule; Statistics d'ordre; Diagonale; Estimation non-Paramétrique; Entropie; Agrégation; Copula; Order statistics; Diagonal; Nonparametric estimation; Entropy; Aggregation

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APA (6th Edition):

Fischer, R. (2016). Modélisation de la dépendance pour des statistiques d'ordre et estimation non-paramétrique. : Modelling the dependence of order statistics and nonparametric estimation. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2016PESC1039

Chicago Manual of Style (16th Edition):

Fischer, Richard. “Modélisation de la dépendance pour des statistiques d'ordre et estimation non-paramétrique. : Modelling the dependence of order statistics and nonparametric estimation.” 2016. Doctoral Dissertation, Université Paris-Est. Accessed July 17, 2019. http://www.theses.fr/2016PESC1039.

MLA Handbook (7th Edition):

Fischer, Richard. “Modélisation de la dépendance pour des statistiques d'ordre et estimation non-paramétrique. : Modelling the dependence of order statistics and nonparametric estimation.” 2016. Web. 17 Jul 2019.

Vancouver:

Fischer R. Modélisation de la dépendance pour des statistiques d'ordre et estimation non-paramétrique. : Modelling the dependence of order statistics and nonparametric estimation. [Internet] [Doctoral dissertation]. Université Paris-Est; 2016. [cited 2019 Jul 17]. Available from: http://www.theses.fr/2016PESC1039.

Council of Science Editors:

Fischer R. Modélisation de la dépendance pour des statistiques d'ordre et estimation non-paramétrique. : Modelling the dependence of order statistics and nonparametric estimation. [Doctoral Dissertation]. Université Paris-Est; 2016. Available from: http://www.theses.fr/2016PESC1039


Hong Kong University of Science and Technology

25. Zhu, Ke. On the LAD estimation and likelihood ratio test for time series models.

Degree: 2011, Hong Kong University of Science and Technology

 This thesis proposes the global self-weighted least absolute deviation (LAD) estimator for finite and infinite variance ARMA models and the global self-weighted quasi-maximum exponential likelihood… (more)

Subjects/Keywords: Time-series analysis  – Mathematical models; Estimation theory  – Mathematical models; Mathematical statistics

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

APA (6th Edition):

Zhu, K. (2011). On the LAD estimation and likelihood ratio test for time series models. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1129756 ; http://repository.ust.hk/ir/bitstream/1783.1-7083/1/th_redirect.html

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

Chicago Manual of Style (16th Edition):

Zhu, Ke. “On the LAD estimation and likelihood ratio test for time series models.” 2011. Thesis, Hong Kong University of Science and Technology. Accessed July 17, 2019. https://doi.org/10.14711/thesis-b1129756 ; http://repository.ust.hk/ir/bitstream/1783.1-7083/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Zhu, Ke. “On the LAD estimation and likelihood ratio test for time series models.” 2011. Web. 17 Jul 2019.

Vancouver:

Zhu K. On the LAD estimation and likelihood ratio test for time series models. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2011. [cited 2019 Jul 17]. Available from: https://doi.org/10.14711/thesis-b1129756 ; http://repository.ust.hk/ir/bitstream/1783.1-7083/1/th_redirect.html.

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

Council of Science Editors:

Zhu K. On the LAD estimation and likelihood ratio test for time series models. [Thesis]. Hong Kong University of Science and Technology; 2011. Available from: https://doi.org/10.14711/thesis-b1129756 ; http://repository.ust.hk/ir/bitstream/1783.1-7083/1/th_redirect.html

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


University of Johannesburg

26. Crotty, Nicholas Paul. Quantile based estimation of treatment effects in censored data.

Degree: 2013, University of Johannesburg

M.Sc. (Mathematical Statistics)

Comparison of two distributions via use of the quantile comparison function is carried out specifically from possibly censored data. A semi-parametric method… (more)

Subjects/Keywords: Monte Carlo method; Estimation theory; Censored observations (Statistics); Censored data (Statistics); Regression analysis; Nonparametric statistics - Asymptotic theory

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APA (6th Edition):

Crotty, N. P. (2013). Quantile based estimation of treatment effects in censored data. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/8409

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):

Crotty, Nicholas Paul. “Quantile based estimation of treatment effects in censored data.” 2013. Thesis, University of Johannesburg. Accessed July 17, 2019. http://hdl.handle.net/10210/8409.

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

MLA Handbook (7th Edition):

Crotty, Nicholas Paul. “Quantile based estimation of treatment effects in censored data.” 2013. Web. 17 Jul 2019.

Vancouver:

Crotty NP. Quantile based estimation of treatment effects in censored data. [Internet] [Thesis]. University of Johannesburg; 2013. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/10210/8409.

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

Council of Science Editors:

Crotty NP. Quantile based estimation of treatment effects in censored data. [Thesis]. University of Johannesburg; 2013. Available from: http://hdl.handle.net/10210/8409

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


University of California – San Diego

27. Zhu, Tingyi. Kernel Methods in Nonparametric Functional Time Series.

Degree: Mathematics, 2017, University of California – San Diego

 Functional data objects are usually collected sequentially over time exhibiting forms of dependence. Such data structure is known as functional time series. While there is… (more)

Subjects/Keywords: Statistics; bootstrap; flat-top kernel; functional time series; kernel estimation; nonparametric autoregression; spectral analysis

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APA (6th Edition):

Zhu, T. (2017). Kernel Methods in Nonparametric Functional Time Series. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/43w2x9qr

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):

Zhu, Tingyi. “Kernel Methods in Nonparametric Functional Time Series.” 2017. Thesis, University of California – San Diego. Accessed July 17, 2019. http://www.escholarship.org/uc/item/43w2x9qr.

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

MLA Handbook (7th Edition):

Zhu, Tingyi. “Kernel Methods in Nonparametric Functional Time Series.” 2017. Web. 17 Jul 2019.

Vancouver:

Zhu T. Kernel Methods in Nonparametric Functional Time Series. [Internet] [Thesis]. University of California – San Diego; 2017. [cited 2019 Jul 17]. Available from: http://www.escholarship.org/uc/item/43w2x9qr.

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

Council of Science Editors:

Zhu T. Kernel Methods in Nonparametric Functional Time Series. [Thesis]. University of California – San Diego; 2017. Available from: http://www.escholarship.org/uc/item/43w2x9qr

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


University of Pennsylvania

28. Jemielita, Thomas. Efficient Baseline Utilization In Crossover Clinical Trials Through Linear Combinations Of Baselines: Parametric, Nonparametric, And Model Selection Approaches.

Degree: 2017, University of Pennsylvania

 In a crossover clinical trial, including period-specific baselines as covariates in a regression model is known to increase the precision of the estimated treatment effect.… (more)

Subjects/Keywords: Baselines; Crossover trials; Longitudinal Analysis; Model Selection; Nonparametric regression; Robust Estimation; Biostatistics; Statistics and Probability

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APA (6th Edition):

Jemielita, T. (2017). Efficient Baseline Utilization In Crossover Clinical Trials Through Linear Combinations Of Baselines: Parametric, Nonparametric, And Model Selection Approaches. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2360

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):

Jemielita, Thomas. “Efficient Baseline Utilization In Crossover Clinical Trials Through Linear Combinations Of Baselines: Parametric, Nonparametric, And Model Selection Approaches.” 2017. Thesis, University of Pennsylvania. Accessed July 17, 2019. https://repository.upenn.edu/edissertations/2360.

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

MLA Handbook (7th Edition):

Jemielita, Thomas. “Efficient Baseline Utilization In Crossover Clinical Trials Through Linear Combinations Of Baselines: Parametric, Nonparametric, And Model Selection Approaches.” 2017. Web. 17 Jul 2019.

Vancouver:

Jemielita T. Efficient Baseline Utilization In Crossover Clinical Trials Through Linear Combinations Of Baselines: Parametric, Nonparametric, And Model Selection Approaches. [Internet] [Thesis]. University of Pennsylvania; 2017. [cited 2019 Jul 17]. Available from: https://repository.upenn.edu/edissertations/2360.

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

Council of Science Editors:

Jemielita T. Efficient Baseline Utilization In Crossover Clinical Trials Through Linear Combinations Of Baselines: Parametric, Nonparametric, And Model Selection Approaches. [Thesis]. University of Pennsylvania; 2017. Available from: https://repository.upenn.edu/edissertations/2360

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

29. Salomond, Jean-Bernard. Propriétés fréquentistes des méthodes Bayésiennes semi-paramétriques et non paramétriques : Frequentist properties of Bayesian semiparametric and nonparametric procedures.

Degree: Docteur es, Sciences, 2014, Paris 9

La recherche sur les méthodes bayésiennes non-paramétriques connaît un essor considérable depuis les vingt dernières années notamment depuis le développement d'algorithmes de simulation permettant leur… (more)

Subjects/Keywords: Méthodes Bayesiennes; Estimation non-paramétriques; Estimation Semi-paramétrique; Test Bayésiens; Problèmes Inverses; Estimation adaptative; Bayesian Statistics; Nonparametric Statistics; Semiparametric Statistics; Bayesian testing; Inverse problems; Adaptation; 519.5

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

APA (6th Edition):

Salomond, J. (2014). Propriétés fréquentistes des méthodes Bayésiennes semi-paramétriques et non paramétriques : Frequentist properties of Bayesian semiparametric and nonparametric procedures. (Doctoral Dissertation). Paris 9. Retrieved from http://www.theses.fr/2014PA090034

Chicago Manual of Style (16th Edition):

Salomond, Jean-Bernard. “Propriétés fréquentistes des méthodes Bayésiennes semi-paramétriques et non paramétriques : Frequentist properties of Bayesian semiparametric and nonparametric procedures.” 2014. Doctoral Dissertation, Paris 9. Accessed July 17, 2019. http://www.theses.fr/2014PA090034.

MLA Handbook (7th Edition):

Salomond, Jean-Bernard. “Propriétés fréquentistes des méthodes Bayésiennes semi-paramétriques et non paramétriques : Frequentist properties of Bayesian semiparametric and nonparametric procedures.” 2014. Web. 17 Jul 2019.

Vancouver:

Salomond J. Propriétés fréquentistes des méthodes Bayésiennes semi-paramétriques et non paramétriques : Frequentist properties of Bayesian semiparametric and nonparametric procedures. [Internet] [Doctoral dissertation]. Paris 9; 2014. [cited 2019 Jul 17]. Available from: http://www.theses.fr/2014PA090034.

Council of Science Editors:

Salomond J. Propriétés fréquentistes des méthodes Bayésiennes semi-paramétriques et non paramétriques : Frequentist properties of Bayesian semiparametric and nonparametric procedures. [Doctoral Dissertation]. Paris 9; 2014. Available from: http://www.theses.fr/2014PA090034


ETH Zürich

30. Studer, Michael Markus. Nonparametric regression penalizing deviations from additivity.

Degree: 2002, ETH Zürich

Subjects/Keywords: KORRELATIONSANALYSE + REGRESSIONSANALYSE (MULTIVARIATE STATISTIK); NICHTPARAMETRISCHE STATISTISCHE METHODEN (MATHEMATISCHE STATISTIK); NICHTPARAMETRISCHE SCHÄTZUNG (MATHEMATISCHE STATISTIK); CORRELATION ANALYSIS + REGRESSION ANALYSIS (MULTIVARIATE STATISTICS); NONPARAMETRIC STATISTICAL METHODS (MATHEMATICAL STATISTICS); NONPARAMETRIC ESTIMATION (MATHEMATICAL STATISTICS); info:eu-repo/classification/ddc/510; Mathematics

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

APA (6th Edition):

Studer, M. M. (2002). Nonparametric regression penalizing deviations from additivity. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/146987

Chicago Manual of Style (16th Edition):

Studer, Michael Markus. “Nonparametric regression penalizing deviations from additivity.” 2002. Doctoral Dissertation, ETH Zürich. Accessed July 17, 2019. http://hdl.handle.net/20.500.11850/146987.

MLA Handbook (7th Edition):

Studer, Michael Markus. “Nonparametric regression penalizing deviations from additivity.” 2002. Web. 17 Jul 2019.

Vancouver:

Studer MM. Nonparametric regression penalizing deviations from additivity. [Internet] [Doctoral dissertation]. ETH Zürich; 2002. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/20.500.11850/146987.

Council of Science Editors:

Studer MM. Nonparametric regression penalizing deviations from additivity. [Doctoral Dissertation]. ETH Zürich; 2002. Available from: http://hdl.handle.net/20.500.11850/146987

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