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You searched for subject:(Nonparametric statistics Data processing). Showing records 1 – 30 of 64957 total matches.

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Michigan State University

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

Degree: 2016, Michigan State University

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

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

Subjects/Keywords: Nonparametric statistics – Data processing; Education

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

APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

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

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

MLA Handbook (7th Edition):

Chang, Chi (College teacher). “Nonparametric multilevel latent class analysis with covariates : an approach to classification in multilevel contexts.” 2016. Web. 23 Oct 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 Oct 23]. Available from: http://etd.lib.msu.edu/islandora/object/etd:4233.

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

Council of Science Editors:

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

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


University of New Mexico

2. Collins, David. Nonparametric estimation of first passage time distributions in flowgraph models.

Degree: Mathematics & Statistics, 2009, University of New Mexico

 Statistical flowgraphs represent multistate semi-Markov processes using integral transforms of transition time distributions between adjacent states; these are combined algebraically and inverted to derive parametric… (more)

Subjects/Keywords: Flowgraphs – Data processing; Failure time data analysis; Nonparametric statistics.

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APA (6th Edition):

Collins, D. (2009). Nonparametric estimation of first passage time distributions in flowgraph models. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/9322

Chicago Manual of Style (16th Edition):

Collins, David. “Nonparametric estimation of first passage time distributions in flowgraph models.” 2009. Doctoral Dissertation, University of New Mexico. Accessed October 23, 2019. http://hdl.handle.net/1928/9322.

MLA Handbook (7th Edition):

Collins, David. “Nonparametric estimation of first passage time distributions in flowgraph models.” 2009. Web. 23 Oct 2019.

Vancouver:

Collins D. Nonparametric estimation of first passage time distributions in flowgraph models. [Internet] [Doctoral dissertation]. University of New Mexico; 2009. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1928/9322.

Council of Science Editors:

Collins D. Nonparametric estimation of first passage time distributions in flowgraph models. [Doctoral Dissertation]. University of New Mexico; 2009. Available from: http://hdl.handle.net/1928/9322

3. 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 (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 October 23, 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. 23 Oct 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 Oct 23]. 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


Texas A&M University

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

Degree: 2009, Texas A&M University

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

Subjects/Keywords: Functional Data Analysis; Nonparametric statistics

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

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

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

MLA Handbook (7th Edition):

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

Vancouver:

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

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

Council of Science Editors:

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

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

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th Edition):

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

Vancouver:

Dong L. Nonparametric tests for longitudinal data. [Internet] [Masters thesis]. Kansas State University; 2009. [cited 2019 Oct 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

6. 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 October 23, 2019. http://hdl.handle.net/10365/26696.

MLA Handbook (7th Edition):

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


McGill University

7. Ghassemi, Ali. Nonparametric geostatistical estimation of soil physical properties.

Degree: MS, Department of Agricultural Engineering., 1987, McGill University

Subjects/Keywords: Soil physics  – Statistical methods.; Nonparametric statistics.; Soil physics  – Data processing.

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APA (6th Edition):

Ghassemi, A. (1987). Nonparametric geostatistical estimation of soil physical properties. (Masters Thesis). McGill University. Retrieved from http://digitool.library.mcgill.ca/thesisfile63904.pdf

Chicago Manual of Style (16th Edition):

Ghassemi, Ali. “Nonparametric geostatistical estimation of soil physical properties.” 1987. Masters Thesis, McGill University. Accessed October 23, 2019. http://digitool.library.mcgill.ca/thesisfile63904.pdf.

MLA Handbook (7th Edition):

Ghassemi, Ali. “Nonparametric geostatistical estimation of soil physical properties.” 1987. Web. 23 Oct 2019.

Vancouver:

Ghassemi A. Nonparametric geostatistical estimation of soil physical properties. [Internet] [Masters thesis]. McGill University; 1987. [cited 2019 Oct 23]. Available from: http://digitool.library.mcgill.ca/thesisfile63904.pdf.

Council of Science Editors:

Ghassemi A. Nonparametric geostatistical estimation of soil physical properties. [Masters Thesis]. McGill University; 1987. Available from: http://digitool.library.mcgill.ca/thesisfile63904.pdf


The Ohio State University

8. Xu, Zhiguang. Modeling Non-Gaussian Time-correlated Data Using Nonparametric Bayesian Method.

Degree: PhD, Statistics, 2014, The Ohio State University

 This dissertation proposes nonparametric Bayesian methods to study a large class of non-Gaussian time-correlated data, including non-Gaussian time series and non-Gaussian longitudinal datasets.When a time… (more)

Subjects/Keywords: Statistics; time series, longitudinal data, copula, nonparametric Bayesian method

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APA (6th Edition):

Xu, Z. (2014). Modeling Non-Gaussian Time-correlated Data Using Nonparametric Bayesian Method. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1406068732

Chicago Manual of Style (16th Edition):

Xu, Zhiguang. “Modeling Non-Gaussian Time-correlated Data Using Nonparametric Bayesian Method.” 2014. Doctoral Dissertation, The Ohio State University. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1406068732.

MLA Handbook (7th Edition):

Xu, Zhiguang. “Modeling Non-Gaussian Time-correlated Data Using Nonparametric Bayesian Method.” 2014. Web. 23 Oct 2019.

Vancouver:

Xu Z. Modeling Non-Gaussian Time-correlated Data Using Nonparametric Bayesian Method. [Internet] [Doctoral dissertation]. The Ohio State University; 2014. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1406068732.

Council of Science Editors:

Xu Z. Modeling Non-Gaussian Time-correlated Data Using Nonparametric Bayesian Method. [Doctoral Dissertation]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1406068732


University of Missouri – Columbia

9. Gorelick, Jeremy, 1981-. Nonparametric analysis of interval-censored failure time data.

Degree: 2009, University of Missouri – Columbia

 This thesis considers the problem of treatment comparisons when only interval-censored failure time data are available. This type of data occurs frequently in clinical trials… (more)

Subjects/Keywords: Failure time data analysis; Nonparametric statistics; Time-series analysis; Interval functions

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APA (6th Edition):

Gorelick, Jeremy, 1. (2009). Nonparametric analysis of interval-censored failure time data. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/7009

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):

Gorelick, Jeremy, 1981-. “Nonparametric analysis of interval-censored failure time data.” 2009. Thesis, University of Missouri – Columbia. Accessed October 23, 2019. http://hdl.handle.net/10355/7009.

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

MLA Handbook (7th Edition):

Gorelick, Jeremy, 1981-. “Nonparametric analysis of interval-censored failure time data.” 2009. Web. 23 Oct 2019.

Vancouver:

Gorelick, Jeremy 1. Nonparametric analysis of interval-censored failure time data. [Internet] [Thesis]. University of Missouri – Columbia; 2009. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10355/7009.

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

Council of Science Editors:

Gorelick, Jeremy 1. Nonparametric analysis of interval-censored failure time data. [Thesis]. University of Missouri – Columbia; 2009. Available from: http://hdl.handle.net/10355/7009

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


The Ohio State University

10. 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 October 23, 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. 23 Oct 2019.

Vancouver:

Blake, Tayler Ann B. Nonparametric Covariance Estimation for Longitudinal Data. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2019 Oct 23]. 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


Nelson Mandela Metropolitan University

11. [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 October 23, 2019. http://hdl.handle.net/10948/19706.

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

MLA Handbook (7th Edition):

author], [No. “Statistical methods for the detection of non-technical losses: a case study for the Nelson Mandela Bay Municipality.” 2017. Web. 23 Oct 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 Oct 23]. Available from: http://hdl.handle.net/10948/19706.

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

Council of Science Editors:

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

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


University of Johannesburg

12. 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 October 23, 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. 23 Oct 2019.

Vancouver:

Crotty NP. Quantile based estimation of treatment effects in censored data. [Internet] [Thesis]. University of Johannesburg; 2013. [cited 2019 Oct 23]. 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


Columbia University

13. Meng, Lu. Spectral Filtering for Spatio-temporal Dynamics and Multivariate Forecasts.

Degree: 2016, Columbia University

 Due to the increasing availability of massive spatio-temporal data sets, modeling high dimensional data becomes quite challenging. A large number of research questions are rooted… (more)

Subjects/Keywords: Mathematical statistics – Data processing; Dynamics; Dimension reduction (Statistics); Statistics

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APA (6th Edition):

Meng, L. (2016). Spectral Filtering for Spatio-temporal Dynamics and Multivariate Forecasts. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D80Z7385

Chicago Manual of Style (16th Edition):

Meng, Lu. “Spectral Filtering for Spatio-temporal Dynamics and Multivariate Forecasts.” 2016. Doctoral Dissertation, Columbia University. Accessed October 23, 2019. https://doi.org/10.7916/D80Z7385.

MLA Handbook (7th Edition):

Meng, Lu. “Spectral Filtering for Spatio-temporal Dynamics and Multivariate Forecasts.” 2016. Web. 23 Oct 2019.

Vancouver:

Meng L. Spectral Filtering for Spatio-temporal Dynamics and Multivariate Forecasts. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2019 Oct 23]. Available from: https://doi.org/10.7916/D80Z7385.

Council of Science Editors:

Meng L. Spectral Filtering for Spatio-temporal Dynamics and Multivariate Forecasts. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D80Z7385


Universidade do Rio Grande do Sul

14. Ruas, Marcelo Castiel. Estimação da estrutura a termo da taxa de juros com abordagem de dados funcionais.

Degree: 2014, Universidade do Rio Grande do Sul

Neste trabalho, estudam-se métodos que consideram a natureza funcional da Estrutura a Termo da Taxa de Juros (ETTJ) para fazer previsões fora da amostra. São… (more)

Subjects/Keywords: Yield curve term structure; Taxa de juros; Estimação; Functional data analysis; Nonparametric statistics

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APA (6th Edition):

Ruas, M. C. (2014). Estimação da estrutura a termo da taxa de juros com abordagem de dados funcionais. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/116642

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):

Ruas, Marcelo Castiel. “Estimação da estrutura a termo da taxa de juros com abordagem de dados funcionais.” 2014. Thesis, Universidade do Rio Grande do Sul. Accessed October 23, 2019. http://hdl.handle.net/10183/116642.

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

MLA Handbook (7th Edition):

Ruas, Marcelo Castiel. “Estimação da estrutura a termo da taxa de juros com abordagem de dados funcionais.” 2014. Web. 23 Oct 2019.

Vancouver:

Ruas MC. Estimação da estrutura a termo da taxa de juros com abordagem de dados funcionais. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2014. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10183/116642.

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

Council of Science Editors:

Ruas MC. Estimação da estrutura a termo da taxa de juros com abordagem de dados funcionais. [Thesis]. Universidade do Rio Grande do Sul; 2014. Available from: http://hdl.handle.net/10183/116642

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


UCLA

15. Peng, Qin. Trees vs Neurons: Comparison between Denoising Autoencoders and Random Forest for Imputation of Mixed Data from Electronic Medical Records.

Degree: Statistics, 2018, UCLA

 Missing data is a significant challenge impacting almost all studies; however, this is especially true for analyses of electronic health record (EHR). We propose a… (more)

Subjects/Keywords: Statistics; Denoising autoencoder; electronic health records; imputation; mixed-typed data; nonparametric model

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APA (6th Edition):

Peng, Q. (2018). Trees vs Neurons: Comparison between Denoising Autoencoders and Random Forest for Imputation of Mixed Data from Electronic Medical Records. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/4tp3b2bt

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):

Peng, Qin. “Trees vs Neurons: Comparison between Denoising Autoencoders and Random Forest for Imputation of Mixed Data from Electronic Medical Records.” 2018. Thesis, UCLA. Accessed October 23, 2019. http://www.escholarship.org/uc/item/4tp3b2bt.

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

MLA Handbook (7th Edition):

Peng, Qin. “Trees vs Neurons: Comparison between Denoising Autoencoders and Random Forest for Imputation of Mixed Data from Electronic Medical Records.” 2018. Web. 23 Oct 2019.

Vancouver:

Peng Q. Trees vs Neurons: Comparison between Denoising Autoencoders and Random Forest for Imputation of Mixed Data from Electronic Medical Records. [Internet] [Thesis]. UCLA; 2018. [cited 2019 Oct 23]. Available from: http://www.escholarship.org/uc/item/4tp3b2bt.

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

Council of Science Editors:

Peng Q. Trees vs Neurons: Comparison between Denoising Autoencoders and Random Forest for Imputation of Mixed Data from Electronic Medical Records. [Thesis]. UCLA; 2018. Available from: http://www.escholarship.org/uc/item/4tp3b2bt

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


Duke University

16. Ren, Lu. Modeling Temporal and Spatial Data Dependence with Bayesian Nonparametrics .

Degree: 2010, Duke University

  In this thesis, temporal and spatial dependence are considered within nonparametric priors to help infer patterns, clusters or segments in data. In traditional nonparametric(more)

Subjects/Keywords: Engineering, Electronics and Electrical; Computer Science; Statistics; Bayesian; Data dependence; modeling; Nonparametric; Spatial; Temporal

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APA (6th Edition):

Ren, L. (2010). Modeling Temporal and Spatial Data Dependence with Bayesian Nonparametrics . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/2417

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):

Ren, Lu. “Modeling Temporal and Spatial Data Dependence with Bayesian Nonparametrics .” 2010. Thesis, Duke University. Accessed October 23, 2019. http://hdl.handle.net/10161/2417.

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

MLA Handbook (7th Edition):

Ren, Lu. “Modeling Temporal and Spatial Data Dependence with Bayesian Nonparametrics .” 2010. Web. 23 Oct 2019.

Vancouver:

Ren L. Modeling Temporal and Spatial Data Dependence with Bayesian Nonparametrics . [Internet] [Thesis]. Duke University; 2010. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10161/2417.

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

Council of Science Editors:

Ren L. Modeling Temporal and Spatial Data Dependence with Bayesian Nonparametrics . [Thesis]. Duke University; 2010. Available from: http://hdl.handle.net/10161/2417

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


University of Missouri – Columbia

17. Zhu, Chao, 1979-. Nonparametric and semiparametric methods for interval-censored failure time data.

Degree: PhD, 2006, University of Missouri – Columbia

 Interval-censored failure time data commonly arise in follow-up studies such as clinical trials and epidemiology studies. By interval-censored data, we mean that the failure time… (more)

Subjects/Keywords: Failure time data analysis; Nonparametric statistics

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APA (6th Edition):

Zhu, Chao, 1. (2006). Nonparametric and semiparametric methods for interval-censored failure time data. (Doctoral Dissertation). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/4415

Chicago Manual of Style (16th Edition):

Zhu, Chao, 1979-. “Nonparametric and semiparametric methods for interval-censored failure time data.” 2006. Doctoral Dissertation, University of Missouri – Columbia. Accessed October 23, 2019. https://doi.org/10.32469/10355/4415.

MLA Handbook (7th Edition):

Zhu, Chao, 1979-. “Nonparametric and semiparametric methods for interval-censored failure time data.” 2006. Web. 23 Oct 2019.

Vancouver:

Zhu, Chao 1. Nonparametric and semiparametric methods for interval-censored failure time data. [Internet] [Doctoral dissertation]. University of Missouri – Columbia; 2006. [cited 2019 Oct 23]. Available from: https://doi.org/10.32469/10355/4415.

Council of Science Editors:

Zhu, Chao 1. Nonparametric and semiparametric methods for interval-censored failure time data. [Doctoral Dissertation]. University of Missouri – Columbia; 2006. Available from: https://doi.org/10.32469/10355/4415


Duke University

18. Wagner, Florian. Methods for Systematic Exploratory Analysis of Gene Expression Data with Applications to Cancer Genomics .

Degree: 2017, Duke University

  Advances in technologies for gene expression profiling have resulted in an unprecedented abundance of gene expression data. However, computational methods available for the exploratory… (more)

Subjects/Keywords: Biology; Computer science; Bioinformatics; algorithms; cancer genomics; exploratory data analysis; gene expression; nonparametric statistics; transcriptomics

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APA (6th Edition):

Wagner, F. (2017). Methods for Systematic Exploratory Analysis of Gene Expression Data with Applications to Cancer Genomics . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/14375

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):

Wagner, Florian. “Methods for Systematic Exploratory Analysis of Gene Expression Data with Applications to Cancer Genomics .” 2017. Thesis, Duke University. Accessed October 23, 2019. http://hdl.handle.net/10161/14375.

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

MLA Handbook (7th Edition):

Wagner, Florian. “Methods for Systematic Exploratory Analysis of Gene Expression Data with Applications to Cancer Genomics .” 2017. Web. 23 Oct 2019.

Vancouver:

Wagner F. Methods for Systematic Exploratory Analysis of Gene Expression Data with Applications to Cancer Genomics . [Internet] [Thesis]. Duke University; 2017. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10161/14375.

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

Council of Science Editors:

Wagner F. Methods for Systematic Exploratory Analysis of Gene Expression Data with Applications to Cancer Genomics . [Thesis]. Duke University; 2017. Available from: http://hdl.handle.net/10161/14375

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


University of Hawaii – Manoa

19. Khan, Mahmudul Huq. Maximizing the use of blocking in record linkage : theory and simulation.

Degree: PhD, 2009, University of Hawaii – Manoa

Microfiche.

xiii, 132 leaves, bound ill. 29 cm

Two data files can be compared only if they have common variables. Pairs are formed by the… (more)

Subjects/Keywords: Medical record linkage; Statistics  – Data processing

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

APA (6th Edition):

Khan, M. H. (2009). Maximizing the use of blocking in record linkage : theory and simulation. (Doctoral Dissertation). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/9383

Chicago Manual of Style (16th Edition):

Khan, Mahmudul Huq. “Maximizing the use of blocking in record linkage : theory and simulation.” 2009. Doctoral Dissertation, University of Hawaii – Manoa. Accessed October 23, 2019. http://hdl.handle.net/10125/9383.

MLA Handbook (7th Edition):

Khan, Mahmudul Huq. “Maximizing the use of blocking in record linkage : theory and simulation.” 2009. Web. 23 Oct 2019.

Vancouver:

Khan MH. Maximizing the use of blocking in record linkage : theory and simulation. [Internet] [Doctoral dissertation]. University of Hawaii – Manoa; 2009. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10125/9383.

Council of Science Editors:

Khan MH. Maximizing the use of blocking in record linkage : theory and simulation. [Doctoral Dissertation]. University of Hawaii – Manoa; 2009. Available from: http://hdl.handle.net/10125/9383


Columbia University

20. Wang, Wei. On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference.

Degree: 2016, Columbia University

 This thesis includes three parts. The overarching theme is how to analyze multilevel structured datasets, particularly in the areas of survey and causal inference. The… (more)

Subjects/Keywords: Social sciences – Statistical methods – Data processing; Statistics

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APA (6th Edition):

Wang, W. (2016). On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8571C4Q

Chicago Manual of Style (16th Edition):

Wang, Wei. “On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference.” 2016. Doctoral Dissertation, Columbia University. Accessed October 23, 2019. https://doi.org/10.7916/D8571C4Q.

MLA Handbook (7th Edition):

Wang, Wei. “On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference.” 2016. Web. 23 Oct 2019.

Vancouver:

Wang W. On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2019 Oct 23]. Available from: https://doi.org/10.7916/D8571C4Q.

Council of Science Editors:

Wang W. On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D8571C4Q


Columbia University

21. Zhu, Huichen. Robust Statistical Approaches Dealing with High-Dimensional Observational Data.

Degree: 2019, Columbia University

 The theme of this dissertation is to develop robust statistical approaches for the high-dimensional observational data. The development of technology makes data sets more accessible… (more)

Subjects/Keywords: Biometry; Biometry – Data processing; Statistics; Decision trees

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APA (6th Edition):

Zhu, H. (2019). Robust Statistical Approaches Dealing with High-Dimensional Observational Data. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/d8-2a44-2470

Chicago Manual of Style (16th Edition):

Zhu, Huichen. “Robust Statistical Approaches Dealing with High-Dimensional Observational Data.” 2019. Doctoral Dissertation, Columbia University. Accessed October 23, 2019. https://doi.org/10.7916/d8-2a44-2470.

MLA Handbook (7th Edition):

Zhu, Huichen. “Robust Statistical Approaches Dealing with High-Dimensional Observational Data.” 2019. Web. 23 Oct 2019.

Vancouver:

Zhu H. Robust Statistical Approaches Dealing with High-Dimensional Observational Data. [Internet] [Doctoral dissertation]. Columbia University; 2019. [cited 2019 Oct 23]. Available from: https://doi.org/10.7916/d8-2a44-2470.

Council of Science Editors:

Zhu H. Robust Statistical Approaches Dealing with High-Dimensional Observational Data. [Doctoral Dissertation]. Columbia University; 2019. Available from: https://doi.org/10.7916/d8-2a44-2470


University of Sydney

22. Zhang, Yajie. Towards Energy - Efficient Qos-Aware Online Stream Data Processing for Internet of Things .

Degree: 2017, University of Sydney

 Online data stream processing in Internet of Things (IoT) systems is an emerging paradigm that allows users to use resource-constrained IoT devices with the back-… (more)

Subjects/Keywords: IoT; Edge Computing; Data Stream Processing; Statistics

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APA (6th Edition):

Zhang, Y. (2017). Towards Energy - Efficient Qos-Aware Online Stream Data Processing for Internet of Things . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/17070

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, Yajie. “Towards Energy - Efficient Qos-Aware Online Stream Data Processing for Internet of Things .” 2017. Thesis, University of Sydney. Accessed October 23, 2019. http://hdl.handle.net/2123/17070.

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

MLA Handbook (7th Edition):

Zhang, Yajie. “Towards Energy - Efficient Qos-Aware Online Stream Data Processing for Internet of Things .” 2017. Web. 23 Oct 2019.

Vancouver:

Zhang Y. Towards Energy - Efficient Qos-Aware Online Stream Data Processing for Internet of Things . [Internet] [Thesis]. University of Sydney; 2017. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/2123/17070.

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

Council of Science Editors:

Zhang Y. Towards Energy - Efficient Qos-Aware Online Stream Data Processing for Internet of Things . [Thesis]. University of Sydney; 2017. Available from: http://hdl.handle.net/2123/17070

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

23. 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 October 23, 2019. http://hdl.handle.net/10365/28836.

MLA Handbook (7th Edition):

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


Hong Kong University of Science and Technology

24. Wei, Junqiu CSE. On big spatial data processing : emerging metric to the distance queries on terrain surface & novel problem to nearby-fit spatial keyword queries.

Degree: 2018, Hong Kong University of Science and Technology

 Spatial data processing is an important field in database and data mining which has a lot of real-world applications and serves as a crucial building… (more)

Subjects/Keywords: Geospatial data; Data processing; Spatial analysis (Statistics); Data mining; Databases

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

APA (6th Edition):

Wei, J. C. (2018). On big spatial data processing : emerging metric to the distance queries on terrain surface & novel problem to nearby-fit spatial keyword queries. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-991012636569003412 ; http://repository.ust.hk/ir/bitstream/1783.1-95713/1/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):

Wei, Junqiu CSE. “On big spatial data processing : emerging metric to the distance queries on terrain surface & novel problem to nearby-fit spatial keyword queries.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed October 23, 2019. https://doi.org/10.14711/thesis-991012636569003412 ; http://repository.ust.hk/ir/bitstream/1783.1-95713/1/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):

Wei, Junqiu CSE. “On big spatial data processing : emerging metric to the distance queries on terrain surface & novel problem to nearby-fit spatial keyword queries.” 2018. Web. 23 Oct 2019.

Vancouver:

Wei JC. On big spatial data processing : emerging metric to the distance queries on terrain surface & novel problem to nearby-fit spatial keyword queries. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2019 Oct 23]. Available from: https://doi.org/10.14711/thesis-991012636569003412 ; http://repository.ust.hk/ir/bitstream/1783.1-95713/1/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:

Wei JC. On big spatial data processing : emerging metric to the distance queries on terrain surface & novel problem to nearby-fit spatial keyword queries. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: https://doi.org/10.14711/thesis-991012636569003412 ; http://repository.ust.hk/ir/bitstream/1783.1-95713/1/th_redirect.html

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


University of Arkansas

25. Chung, Ming-Hua. Probabilistic Graphical Modeling on Big Data.

Degree: PhD, 2015, University of Arkansas

  The rise of Big Data in recent years brings many challenges to modern statistical analysis and modeling. In toxicogenomics, the advancement of high-throughput screening… (more)

Subjects/Keywords: Pure sciences; Applied sciences; Bayesian nonparametric; Big data; Probabilistic graphical models; Social networks; Topic models; Toxicogenomics; Applied Statistics; Categorical Data Analysis

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APA (6th Edition):

Chung, M. (2015). Probabilistic Graphical Modeling on Big Data. (Doctoral Dissertation). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/1415

Chicago Manual of Style (16th Edition):

Chung, Ming-Hua. “Probabilistic Graphical Modeling on Big Data.” 2015. Doctoral Dissertation, University of Arkansas. Accessed October 23, 2019. https://scholarworks.uark.edu/etd/1415.

MLA Handbook (7th Edition):

Chung, Ming-Hua. “Probabilistic Graphical Modeling on Big Data.” 2015. Web. 23 Oct 2019.

Vancouver:

Chung M. Probabilistic Graphical Modeling on Big Data. [Internet] [Doctoral dissertation]. University of Arkansas; 2015. [cited 2019 Oct 23]. Available from: https://scholarworks.uark.edu/etd/1415.

Council of Science Editors:

Chung M. Probabilistic Graphical Modeling on Big Data. [Doctoral Dissertation]. University of Arkansas; 2015. Available from: https://scholarworks.uark.edu/etd/1415


Western Michigan University

26. Mantilla, Libertie B. Comparison of Medians Using Multivariate Mixed Design Data.

Degree: PhD, Statistics, 2016, Western Michigan University

  Mixed design data is a mixture of paired and independent samples. For example, data of this type can arise in matched-pair designs where, due… (more)

Subjects/Keywords: Mixed design data; multivariate; nonparametric; component-rise median; robust; partially-correlated data; Multivariate Analysis; Statistics and Probability

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APA (6th Edition):

Mantilla, L. B. (2016). Comparison of Medians Using Multivariate Mixed Design Data. (Doctoral Dissertation). Western Michigan University. Retrieved from https://scholarworks.wmich.edu/dissertations/1411

Chicago Manual of Style (16th Edition):

Mantilla, Libertie B. “Comparison of Medians Using Multivariate Mixed Design Data.” 2016. Doctoral Dissertation, Western Michigan University. Accessed October 23, 2019. https://scholarworks.wmich.edu/dissertations/1411.

MLA Handbook (7th Edition):

Mantilla, Libertie B. “Comparison of Medians Using Multivariate Mixed Design Data.” 2016. Web. 23 Oct 2019.

Vancouver:

Mantilla LB. Comparison of Medians Using Multivariate Mixed Design Data. [Internet] [Doctoral dissertation]. Western Michigan University; 2016. [cited 2019 Oct 23]. Available from: https://scholarworks.wmich.edu/dissertations/1411.

Council of Science Editors:

Mantilla LB. Comparison of Medians Using Multivariate Mixed Design Data. [Doctoral Dissertation]. Western Michigan University; 2016. Available from: https://scholarworks.wmich.edu/dissertations/1411


University of Florida

27. Huang, Lei. Survival And Reliability Analysis Under Polya Tree Processes Priors.

Degree: PhD, Statistics, 2013, University of Florida

 The thesis consists of three components, which are related to survival and lifetime data analysis. We propose a Bayesian nonparametric approach to testing treatment effects… (more)

Subjects/Keywords: Censored data; Censorship; Data analysis; Null hypothesis; Reliability functions; Sample size; Simulations; Statistical estimation; Statistical models; Statistics; nonparametric  – survival

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

APA (6th Edition):

Huang, L. (2013). Survival And Reliability Analysis Under Polya Tree Processes Priors. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045745

Chicago Manual of Style (16th Edition):

Huang, Lei. “Survival And Reliability Analysis Under Polya Tree Processes Priors.” 2013. Doctoral Dissertation, University of Florida. Accessed October 23, 2019. http://ufdc.ufl.edu/UFE0045745.

MLA Handbook (7th Edition):

Huang, Lei. “Survival And Reliability Analysis Under Polya Tree Processes Priors.” 2013. Web. 23 Oct 2019.

Vancouver:

Huang L. Survival And Reliability Analysis Under Polya Tree Processes Priors. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Oct 23]. Available from: http://ufdc.ufl.edu/UFE0045745.

Council of Science Editors:

Huang L. Survival And Reliability Analysis Under Polya Tree Processes Priors. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045745


Columbia University

28. Lu, Feihan. Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine.

Degree: 2018, Columbia University

 Bayesian statistical procedures use probabilistic models and probability distributions to summarize data, estimate unknown quantities of interest, and predict future observations. The procedures borrow strength… (more)

Subjects/Keywords: Statistics; Bayesian statistical decision theory; Data structures (Computer science); Neurosciences – Data processing; Medicine – Data processing

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

APA (6th Edition):

Lu, F. (2018). Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8VD8FXF

Chicago Manual of Style (16th Edition):

Lu, Feihan. “Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine.” 2018. Doctoral Dissertation, Columbia University. Accessed October 23, 2019. https://doi.org/10.7916/D8VD8FXF.

MLA Handbook (7th Edition):

Lu, Feihan. “Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine.” 2018. Web. 23 Oct 2019.

Vancouver:

Lu F. Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2019 Oct 23]. Available from: https://doi.org/10.7916/D8VD8FXF.

Council of Science Editors:

Lu F. Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine. [Doctoral Dissertation]. Columbia University; 2018. Available from: https://doi.org/10.7916/D8VD8FXF


Oregon State University

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

Degree: PhD, Statistics, 2016, Oregon State University

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

Subjects/Keywords: Additive model; Nonparametric statistics

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th Edition):

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

Vancouver:

Wang L. Nonparametric Estimation of Additive Models with Shape Constraints. [Internet] [Doctoral dissertation]. Oregon State University; 2016. [cited 2019 Oct 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

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

Degree: PhD, Economics, 2005, Oregon State University

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

Subjects/Keywords: Nonparametric statistics

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th Edition):

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

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