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You searched for subject:(Semiparametric). Showing records 1 – 30 of 197 total matches.

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Texas A&M University

1. Lin, Zhongjian. Semiparametric Methods and Applications.

Degree: 2014, Texas A&M University

 This dissertation studies semiparametric methods and their applications to economics and marketing problems. We propose a game theoretic model to analyze interactions among individuals in… (more)

Subjects/Keywords: Semiparametric; Econometrics

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APA (6th Edition):

Lin, Z. (2014). Semiparametric Methods and Applications. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152663

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):

Lin, Zhongjian. “Semiparametric Methods and Applications.” 2014. Thesis, Texas A&M University. Accessed June 04, 2020. http://hdl.handle.net/1969.1/152663.

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

MLA Handbook (7th Edition):

Lin, Zhongjian. “Semiparametric Methods and Applications.” 2014. Web. 04 Jun 2020.

Vancouver:

Lin Z. Semiparametric Methods and Applications. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/1969.1/152663.

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

Council of Science Editors:

Lin Z. Semiparametric Methods and Applications. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152663

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


University of Texas – Austin

2. Lee, Sungwon. Essays on semi-/non-parametric methods in econometrics.

Degree: PhD, Economics, 2018, University of Texas – Austin

 My dissertation contains three chapters focusing on semi-/non-parametric models in econometrics. The first chapter, which is a joint work with Sukjin Han, considers parametric/semiparametric estimation… (more)

Subjects/Keywords: Semiparametric; Nonparametric

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APA (6th Edition):

Lee, S. (2018). Essays on semi-/non-parametric methods in econometrics. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68088

Chicago Manual of Style (16th Edition):

Lee, Sungwon. “Essays on semi-/non-parametric methods in econometrics.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed June 04, 2020. http://hdl.handle.net/2152/68088.

MLA Handbook (7th Edition):

Lee, Sungwon. “Essays on semi-/non-parametric methods in econometrics.” 2018. Web. 04 Jun 2020.

Vancouver:

Lee S. Essays on semi-/non-parametric methods in econometrics. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/2152/68088.

Council of Science Editors:

Lee S. Essays on semi-/non-parametric methods in econometrics. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68088


Louisiana State University

3. Pandit, Mahesh. Off-farm labor supply by farm operators and spouses: a comparison of estimation methods.

Degree: MS, Agricultural Economics, 2010, Louisiana State University

 This thesis studies the off-farm labor supply decision of farm operators and their spouses in the United States. The data used in this study is… (more)

Subjects/Keywords: semiparametric; Off-farm

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APA (6th Edition):

Pandit, M. (2010). Off-farm labor supply by farm operators and spouses: a comparison of estimation methods. (Masters Thesis). Louisiana State University. Retrieved from etd-06152010-201208 ; https://digitalcommons.lsu.edu/gradschool_theses/1902

Chicago Manual of Style (16th Edition):

Pandit, Mahesh. “Off-farm labor supply by farm operators and spouses: a comparison of estimation methods.” 2010. Masters Thesis, Louisiana State University. Accessed June 04, 2020. etd-06152010-201208 ; https://digitalcommons.lsu.edu/gradschool_theses/1902.

MLA Handbook (7th Edition):

Pandit, Mahesh. “Off-farm labor supply by farm operators and spouses: a comparison of estimation methods.” 2010. Web. 04 Jun 2020.

Vancouver:

Pandit M. Off-farm labor supply by farm operators and spouses: a comparison of estimation methods. [Internet] [Masters thesis]. Louisiana State University; 2010. [cited 2020 Jun 04]. Available from: etd-06152010-201208 ; https://digitalcommons.lsu.edu/gradschool_theses/1902.

Council of Science Editors:

Pandit M. Off-farm labor supply by farm operators and spouses: a comparison of estimation methods. [Masters Thesis]. Louisiana State University; 2010. Available from: etd-06152010-201208 ; https://digitalcommons.lsu.edu/gradschool_theses/1902


Cornell University

4. Zhao, Yue. Contributions To The Statistical Inference For The Semiparametric Elliptical Copula Model .

Degree: 2015, Cornell University

 This thesis addresses aspects of the statistical inference problem for the semiparametric elliptical copula model. A copula (function) for a continuous multivariate distribution is the… (more)

Subjects/Keywords: semiparametric; elliptical copula

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APA (6th Edition):

Zhao, Y. (2015). Contributions To The Statistical Inference For The Semiparametric Elliptical Copula Model . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/41052

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):

Zhao, Yue. “Contributions To The Statistical Inference For The Semiparametric Elliptical Copula Model .” 2015. Thesis, Cornell University. Accessed June 04, 2020. http://hdl.handle.net/1813/41052.

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

MLA Handbook (7th Edition):

Zhao, Yue. “Contributions To The Statistical Inference For The Semiparametric Elliptical Copula Model .” 2015. Web. 04 Jun 2020.

Vancouver:

Zhao Y. Contributions To The Statistical Inference For The Semiparametric Elliptical Copula Model . [Internet] [Thesis]. Cornell University; 2015. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/1813/41052.

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

Council of Science Editors:

Zhao Y. Contributions To The Statistical Inference For The Semiparametric Elliptical Copula Model . [Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41052

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


Oregon State University

5. Livingston, Olga Voyteshenko. Essays in semiparametric econometrics.

Degree: PhD, Economics, 2009, Oregon State University

 Two essays are focused on semiparametric econometric methods. The first essay investigates applicability of the smooth back tting estimator (SBE) to statistical analysis of residential… (more)

Subjects/Keywords: semiparametric; Energy consumption  – Econometric models

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APA (6th Edition):

Livingston, O. V. (2009). Essays in semiparametric econometrics. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/14126

Chicago Manual of Style (16th Edition):

Livingston, Olga Voyteshenko. “Essays in semiparametric econometrics.” 2009. Doctoral Dissertation, Oregon State University. Accessed June 04, 2020. http://hdl.handle.net/1957/14126.

MLA Handbook (7th Edition):

Livingston, Olga Voyteshenko. “Essays in semiparametric econometrics.” 2009. Web. 04 Jun 2020.

Vancouver:

Livingston OV. Essays in semiparametric econometrics. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/1957/14126.

Council of Science Editors:

Livingston OV. Essays in semiparametric econometrics. [Doctoral Dissertation]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/14126


Texas A&M University

6. Maity, Arnab. Efficient inference in general semiparametric regression models.

Degree: 2009, Texas A&M University

Semiparametric regression has become very popular in the field of Statistics over the years. While on one hand more and more sophisticated models are being… (more)

Subjects/Keywords: Nonparametric/Semiparametric Regression; Kernel Method; Measurement Error; Semiparametric Efficiency; Repeated Measures

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APA (6th Edition):

Maity, A. (2009). Efficient inference in general semiparametric regression models. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-3075

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):

Maity, Arnab. “Efficient inference in general semiparametric regression models.” 2009. Thesis, Texas A&M University. Accessed June 04, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-3075.

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

MLA Handbook (7th Edition):

Maity, Arnab. “Efficient inference in general semiparametric regression models.” 2009. Web. 04 Jun 2020.

Vancouver:

Maity A. Efficient inference in general semiparametric regression models. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3075.

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

Council of Science Editors:

Maity A. Efficient inference in general semiparametric regression models. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3075

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

7. Xiang, Sijia. Minimum Hellinger distance estimation in a semiparametric mixture model.

Degree: MS, Department of Statistics, 2012, Kansas State University

 In this report, we introduce the minimum Hellinger distance (MHD) estimation method and review its history. We examine the use of Hellinger distance to obtain… (more)

Subjects/Keywords: Semiparametric mixture models; Minimum Hellinger distance; Semiparametric EM algorithm; Statistics (0463)

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APA (6th Edition):

Xiang, S. (2012). Minimum Hellinger distance estimation in a semiparametric mixture model. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/13762

Chicago Manual of Style (16th Edition):

Xiang, Sijia. “Minimum Hellinger distance estimation in a semiparametric mixture model.” 2012. Masters Thesis, Kansas State University. Accessed June 04, 2020. http://hdl.handle.net/2097/13762.

MLA Handbook (7th Edition):

Xiang, Sijia. “Minimum Hellinger distance estimation in a semiparametric mixture model.” 2012. Web. 04 Jun 2020.

Vancouver:

Xiang S. Minimum Hellinger distance estimation in a semiparametric mixture model. [Internet] [Masters thesis]. Kansas State University; 2012. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/2097/13762.

Council of Science Editors:

Xiang S. Minimum Hellinger distance estimation in a semiparametric mixture model. [Masters Thesis]. Kansas State University; 2012. Available from: http://hdl.handle.net/2097/13762


University of California – Berkeley

8. Decker, Anna. Semiparametric Prediction, Variable Importance, and Effect Estimation in Critical Care.

Degree: Biostatistics, 2014, University of California – Berkeley

 Trauma injury is one of the leading causes of death in the United States, accounting for over 120,000 deaths in 2010 according to the CDC.… (more)

Subjects/Keywords: Biostatistics; causal inference; machine learning; semiparametric

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APA (6th Edition):

Decker, A. (2014). Semiparametric Prediction, Variable Importance, and Effect Estimation in Critical Care. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/5x10t818

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):

Decker, Anna. “Semiparametric Prediction, Variable Importance, and Effect Estimation in Critical Care.” 2014. Thesis, University of California – Berkeley. Accessed June 04, 2020. http://www.escholarship.org/uc/item/5x10t818.

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

MLA Handbook (7th Edition):

Decker, Anna. “Semiparametric Prediction, Variable Importance, and Effect Estimation in Critical Care.” 2014. Web. 04 Jun 2020.

Vancouver:

Decker A. Semiparametric Prediction, Variable Importance, and Effect Estimation in Critical Care. [Internet] [Thesis]. University of California – Berkeley; 2014. [cited 2020 Jun 04]. Available from: http://www.escholarship.org/uc/item/5x10t818.

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

Council of Science Editors:

Decker A. Semiparametric Prediction, Variable Importance, and Effect Estimation in Critical Care. [Thesis]. University of California – Berkeley; 2014. Available from: http://www.escholarship.org/uc/item/5x10t818

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


The Ohio State University

9. KIM, NAMHEE. A semiparametric statistical approach to Functional MRI data.

Degree: PhD, Statistics, 2009, The Ohio State University

  Functional magnetic resonance imaging measures the Hemodynamic Response (HR), to help understand the relationship between activity in certain brain areas and specific cognitive functions.… (more)

Subjects/Keywords: Statistics; fMRI; A semiparametric statistical model

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APA (6th Edition):

KIM, N. (2009). A semiparametric statistical approach to Functional MRI data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1262295445

Chicago Manual of Style (16th Edition):

KIM, NAMHEE. “A semiparametric statistical approach to Functional MRI data.” 2009. Doctoral Dissertation, The Ohio State University. Accessed June 04, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1262295445.

MLA Handbook (7th Edition):

KIM, NAMHEE. “A semiparametric statistical approach to Functional MRI data.” 2009. Web. 04 Jun 2020.

Vancouver:

KIM N. A semiparametric statistical approach to Functional MRI data. [Internet] [Doctoral dissertation]. The Ohio State University; 2009. [cited 2020 Jun 04]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1262295445.

Council of Science Editors:

KIM N. A semiparametric statistical approach to Functional MRI data. [Doctoral Dissertation]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1262295445


University of Adelaide

10. Kim, Nam-Hyun. Semiparametric models with endogeneity and their application to an empirical demand analysis.

Degree: 2013, University of Adelaide

 During the past few decades, nonparametric models have been extensively applied to empirical studies in various fields of economics due to its flexibility for depicting… (more)

Subjects/Keywords: semiparametric models; endogeneity; empirical demand analysis

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APA (6th Edition):

Kim, N. (2013). Semiparametric models with endogeneity and their application to an empirical demand analysis. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/82605

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):

Kim, Nam-Hyun. “Semiparametric models with endogeneity and their application to an empirical demand analysis.” 2013. Thesis, University of Adelaide. Accessed June 04, 2020. http://hdl.handle.net/2440/82605.

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

MLA Handbook (7th Edition):

Kim, Nam-Hyun. “Semiparametric models with endogeneity and their application to an empirical demand analysis.” 2013. Web. 04 Jun 2020.

Vancouver:

Kim N. Semiparametric models with endogeneity and their application to an empirical demand analysis. [Internet] [Thesis]. University of Adelaide; 2013. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/2440/82605.

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

Council of Science Editors:

Kim N. Semiparametric models with endogeneity and their application to an empirical demand analysis. [Thesis]. University of Adelaide; 2013. Available from: http://hdl.handle.net/2440/82605

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


Cornell University

11. Steingrimsson, Jon. Information Recovery With Missing Data When Outcomes Are Right Censored.

Degree: 2015, Cornell University

 This dissertation focuses on utilizing information more efficiently in several settings when some observations are right-censored using the semiparametric efficiency theory developed in Robins et… (more)

Subjects/Keywords: Missing Data; Semiparametric Theory; Censored Data

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APA (6th Edition):

Steingrimsson, J. (2015). Information Recovery With Missing Data When Outcomes Are Right Censored. (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/41100

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):

Steingrimsson, Jon. “Information Recovery With Missing Data When Outcomes Are Right Censored. ” 2015. Thesis, Cornell University. Accessed June 04, 2020. http://hdl.handle.net/1813/41100.

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

MLA Handbook (7th Edition):

Steingrimsson, Jon. “Information Recovery With Missing Data When Outcomes Are Right Censored. ” 2015. Web. 04 Jun 2020.

Vancouver:

Steingrimsson J. Information Recovery With Missing Data When Outcomes Are Right Censored. [Internet] [Thesis]. Cornell University; 2015. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/1813/41100.

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

Council of Science Editors:

Steingrimsson J. Information Recovery With Missing Data When Outcomes Are Right Censored. [Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41100

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


Colorado State University

12. Chu, Tingjin. Parametric and semiparametric model estimation and selection in geostatistics.

Degree: PhD, Statistics, 2007, Colorado State University

 This dissertation is focused on geostatistical models, which are useful in many scientific disciplines, such as climatology, ecology and environmental monitoring. In the first part,… (more)

Subjects/Keywords: geostatistics; semiparametric; parametric

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APA (6th Edition):

Chu, T. (2007). Parametric and semiparametric model estimation and selection in geostatistics. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/68166

Chicago Manual of Style (16th Edition):

Chu, Tingjin. “Parametric and semiparametric model estimation and selection in geostatistics.” 2007. Doctoral Dissertation, Colorado State University. Accessed June 04, 2020. http://hdl.handle.net/10217/68166.

MLA Handbook (7th Edition):

Chu, Tingjin. “Parametric and semiparametric model estimation and selection in geostatistics.” 2007. Web. 04 Jun 2020.

Vancouver:

Chu T. Parametric and semiparametric model estimation and selection in geostatistics. [Internet] [Doctoral dissertation]. Colorado State University; 2007. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10217/68166.

Council of Science Editors:

Chu T. Parametric and semiparametric model estimation and selection in geostatistics. [Doctoral Dissertation]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/68166


Penn State University

13. Kai, Bo. Robust Nonparametric and Semiparametric Modeling.

Degree: PhD, Statistics, 2009, Penn State University

 In this dissertation, several new statistical procedures in nonparametric and semiparametric models are proposed. The concerns of the research are efficiency, robustness and sparsity. In… (more)

Subjects/Keywords: Nonparametric Smoothing; Semiparametric Modeling; Robust Statistics; Quantile Regression

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APA (6th Edition):

Kai, B. (2009). Robust Nonparametric and Semiparametric Modeling. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9968

Chicago Manual of Style (16th Edition):

Kai, Bo. “Robust Nonparametric and Semiparametric Modeling.” 2009. Doctoral Dissertation, Penn State University. Accessed June 04, 2020. https://etda.libraries.psu.edu/catalog/9968.

MLA Handbook (7th Edition):

Kai, Bo. “Robust Nonparametric and Semiparametric Modeling.” 2009. Web. 04 Jun 2020.

Vancouver:

Kai B. Robust Nonparametric and Semiparametric Modeling. [Internet] [Doctoral dissertation]. Penn State University; 2009. [cited 2020 Jun 04]. Available from: https://etda.libraries.psu.edu/catalog/9968.

Council of Science Editors:

Kai B. Robust Nonparametric and Semiparametric Modeling. [Doctoral Dissertation]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9968


University of California – Berkeley

14. Lendle, Samuel David. Targeted Minimum Loss Based Estimation: Applications and Extensions in Causal Inference and Big Data.

Degree: Biostatistics, 2015, University of California – Berkeley

 Causal inference generally requires making some assumptions on a causal mechanism followed by statistical estimation. The statistical estimation problem in causal inference is often that… (more)

Subjects/Keywords: Biostatistics; Statistics; causal inference; semiparametric models; targeted minimum loss-based estimation

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APA (6th Edition):

Lendle, S. D. (2015). Targeted Minimum Loss Based Estimation: Applications and Extensions in Causal Inference and Big Data. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/4cs716rc

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):

Lendle, Samuel David. “Targeted Minimum Loss Based Estimation: Applications and Extensions in Causal Inference and Big Data.” 2015. Thesis, University of California – Berkeley. Accessed June 04, 2020. http://www.escholarship.org/uc/item/4cs716rc.

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

MLA Handbook (7th Edition):

Lendle, Samuel David. “Targeted Minimum Loss Based Estimation: Applications and Extensions in Causal Inference and Big Data.” 2015. Web. 04 Jun 2020.

Vancouver:

Lendle SD. Targeted Minimum Loss Based Estimation: Applications and Extensions in Causal Inference and Big Data. [Internet] [Thesis]. University of California – Berkeley; 2015. [cited 2020 Jun 04]. Available from: http://www.escholarship.org/uc/item/4cs716rc.

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

Council of Science Editors:

Lendle SD. Targeted Minimum Loss Based Estimation: Applications and Extensions in Causal Inference and Big Data. [Thesis]. University of California – Berkeley; 2015. Available from: http://www.escholarship.org/uc/item/4cs716rc

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

15. Liu, Yingxue. Estimation of circadian parameters and investigation in cyanobacteria via semiparametric varying coefficient periodic models.

Degree: 2009, Texas A&M University

 This dissertation includes three components. Component 1 provides an estima- tion procedure for circadian parameters in cyanobacteria. Component 2 explores the relationship between baseline and… (more)

Subjects/Keywords: semiparametric; circadian rhythm

…PARAMETERS IN CYANOBACTERIA VIA SEMIPARAMETRIC VARYING COEFFICIENT PERIODIC MODELS… …8 11 2.4 Parametric and Semiparametric Estimation Methods . . . 13 2.5 Asymptotic… …68 18 1 CHAPTER I INTRODUCTION Semiparametric models use different structures to best… …varying coefficient models, semiparametric varying coefficient periodic models, on analyzing the… …semiparametric varying coefficient periodic models and provide estimating procedures for the circadian… 

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APA (6th Edition):

Liu, Y. (2009). Estimation of circadian parameters and investigation in cyanobacteria via semiparametric varying coefficient periodic models. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1628

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):

Liu, Yingxue. “Estimation of circadian parameters and investigation in cyanobacteria via semiparametric varying coefficient periodic models.” 2009. Thesis, Texas A&M University. Accessed June 04, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-1628.

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

MLA Handbook (7th Edition):

Liu, Yingxue. “Estimation of circadian parameters and investigation in cyanobacteria via semiparametric varying coefficient periodic models.” 2009. Web. 04 Jun 2020.

Vancouver:

Liu Y. Estimation of circadian parameters and investigation in cyanobacteria via semiparametric varying coefficient periodic models. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1628.

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

Council of Science Editors:

Liu Y. Estimation of circadian parameters and investigation in cyanobacteria via semiparametric varying coefficient periodic models. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1628

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


University of Notre Dame

16. Xin Tong. Robust Semiparametric Bayesian Methods in Growth Curve Modeling</h1>.

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

  Despite wide applications of growth curve models, few studies have dealt with a practical issue – nonnormality of data. Previous studies have typically used… (more)

Subjects/Keywords: Dirichlet process; nonnormal data; semiparametric Bayesian; robust methods

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APA (6th Edition):

Tong, X. (2014). Robust Semiparametric Bayesian Methods in Growth Curve Modeling</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/c821gh95m0x

Chicago Manual of Style (16th Edition):

Tong, Xin. “Robust Semiparametric Bayesian Methods in Growth Curve Modeling</h1>.” 2014. Doctoral Dissertation, University of Notre Dame. Accessed June 04, 2020. https://curate.nd.edu/show/c821gh95m0x.

MLA Handbook (7th Edition):

Tong, Xin. “Robust Semiparametric Bayesian Methods in Growth Curve Modeling</h1>.” 2014. Web. 04 Jun 2020.

Vancouver:

Tong X. Robust Semiparametric Bayesian Methods in Growth Curve Modeling</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2014. [cited 2020 Jun 04]. Available from: https://curate.nd.edu/show/c821gh95m0x.

Council of Science Editors:

Tong X. Robust Semiparametric Bayesian Methods in Growth Curve Modeling</h1>. [Doctoral Dissertation]. University of Notre Dame; 2014. Available from: https://curate.nd.edu/show/c821gh95m0x


Harvard University

17. Agniel, Denis Madison. Statistical Methods for Multivariate and Complex Phenotypes.

Degree: PhD, Biostatistics, 2014, Harvard University

 Many important scientific questions can not be studied properly using a single measurement as a response. For example, many phenotypes of interest in recent clinical… (more)

Subjects/Keywords: Biostatistics; Complex phenotypes; Functional principal components; Multivariate statistics; Semiparametric models

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APA (6th Edition):

Agniel, D. M. (2014). Statistical Methods for Multivariate and Complex Phenotypes. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:13070048

Chicago Manual of Style (16th Edition):

Agniel, Denis Madison. “Statistical Methods for Multivariate and Complex Phenotypes.” 2014. Doctoral Dissertation, Harvard University. Accessed June 04, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:13070048.

MLA Handbook (7th Edition):

Agniel, Denis Madison. “Statistical Methods for Multivariate and Complex Phenotypes.” 2014. Web. 04 Jun 2020.

Vancouver:

Agniel DM. Statistical Methods for Multivariate and Complex Phenotypes. [Internet] [Doctoral dissertation]. Harvard University; 2014. [cited 2020 Jun 04]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:13070048.

Council of Science Editors:

Agniel DM. Statistical Methods for Multivariate and Complex Phenotypes. [Doctoral Dissertation]. Harvard University; 2014. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:13070048


Virginia Tech

18. Waterman, Megan Janet Tuttle. Linear Mixed Model Robust Regression.

Degree: PhD, Statistics, 2002, Virginia Tech

 Mixed models are powerful tools for the analysis of clustered data and many extensions of the classical linear mixed model with normally distributed response have… (more)

Subjects/Keywords: semiparametric; mixed effects; robust

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APA (6th Edition):

Waterman, M. J. T. (2002). Linear Mixed Model Robust Regression. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/27708

Chicago Manual of Style (16th Edition):

Waterman, Megan Janet Tuttle. “Linear Mixed Model Robust Regression.” 2002. Doctoral Dissertation, Virginia Tech. Accessed June 04, 2020. http://hdl.handle.net/10919/27708.

MLA Handbook (7th Edition):

Waterman, Megan Janet Tuttle. “Linear Mixed Model Robust Regression.” 2002. Web. 04 Jun 2020.

Vancouver:

Waterman MJT. Linear Mixed Model Robust Regression. [Internet] [Doctoral dissertation]. Virginia Tech; 2002. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10919/27708.

Council of Science Editors:

Waterman MJT. Linear Mixed Model Robust Regression. [Doctoral Dissertation]. Virginia Tech; 2002. Available from: http://hdl.handle.net/10919/27708


University of South Carolina

19. Li, Xiang. Semiparametric Regression In The Presence Of Measurement Error.

Degree: PhD, Statistics, 2018, University of South Carolina

  The error-in-covariates problem has received great attention among researchers who study semiparametric and nonparametric inference for regression models over the past two decades. Without… (more)

Subjects/Keywords: Statistics and Probability; Semiparametric; Regression; Presence; Measurement; Error

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APA (6th Edition):

Li, X. (2018). Semiparametric Regression In The Presence Of Measurement Error. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/4937

Chicago Manual of Style (16th Edition):

Li, Xiang. “Semiparametric Regression In The Presence Of Measurement Error.” 2018. Doctoral Dissertation, University of South Carolina. Accessed June 04, 2020. https://scholarcommons.sc.edu/etd/4937.

MLA Handbook (7th Edition):

Li, Xiang. “Semiparametric Regression In The Presence Of Measurement Error.” 2018. Web. 04 Jun 2020.

Vancouver:

Li X. Semiparametric Regression In The Presence Of Measurement Error. [Internet] [Doctoral dissertation]. University of South Carolina; 2018. [cited 2020 Jun 04]. Available from: https://scholarcommons.sc.edu/etd/4937.

Council of Science Editors:

Li X. Semiparametric Regression In The Presence Of Measurement Error. [Doctoral Dissertation]. University of South Carolina; 2018. Available from: https://scholarcommons.sc.edu/etd/4937

20. Farland, Jonathan. Zonal And Regional Load Forecasting In The New England Wholesale Electricity Market: A Semiparametric Regression Approach.

Degree: MS, Resource Economics, 2013, University of Massachusetts

  Power system planning, reliability analysis and economically efficient capacity scheduling all rely heavily on electricity demand forecasting models. In the context of a deregulated… (more)

Subjects/Keywords: Semiparametric Regression; Load Forecasting; Penalized Splines; Mixed Models; Econometrics

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APA (6th Edition):

Farland, J. (2013). Zonal And Regional Load Forecasting In The New England Wholesale Electricity Market: A Semiparametric Regression Approach. (Masters Thesis). University of Massachusetts. Retrieved from https://scholarworks.umass.edu/theses/1120

Chicago Manual of Style (16th Edition):

Farland, Jonathan. “Zonal And Regional Load Forecasting In The New England Wholesale Electricity Market: A Semiparametric Regression Approach.” 2013. Masters Thesis, University of Massachusetts. Accessed June 04, 2020. https://scholarworks.umass.edu/theses/1120.

MLA Handbook (7th Edition):

Farland, Jonathan. “Zonal And Regional Load Forecasting In The New England Wholesale Electricity Market: A Semiparametric Regression Approach.” 2013. Web. 04 Jun 2020.

Vancouver:

Farland J. Zonal And Regional Load Forecasting In The New England Wholesale Electricity Market: A Semiparametric Regression Approach. [Internet] [Masters thesis]. University of Massachusetts; 2013. [cited 2020 Jun 04]. Available from: https://scholarworks.umass.edu/theses/1120.

Council of Science Editors:

Farland J. Zonal And Regional Load Forecasting In The New England Wholesale Electricity Market: A Semiparametric Regression Approach. [Masters Thesis]. University of Massachusetts; 2013. Available from: https://scholarworks.umass.edu/theses/1120


University of Adelaide

21. Alsulami, Dawlah Joodallah. Semiparametric models for nonlinear spatio-temporal data with application to the United States housing prices indexes.

Degree: 2016, University of Adelaide

 Modelling spatio-temporal data has received significant attention, recently and is widely applied in many disciplines such as economics, environmental and social sciences. In economics, housing… (more)

Subjects/Keywords: semiparametric models; spatio-temporal data; adaptive lasso; spatial weight matrix

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APA (6th Edition):

Alsulami, D. J. (2016). Semiparametric models for nonlinear spatio-temporal data with application to the United States housing prices indexes. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/100422

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):

Alsulami, Dawlah Joodallah. “Semiparametric models for nonlinear spatio-temporal data with application to the United States housing prices indexes.” 2016. Thesis, University of Adelaide. Accessed June 04, 2020. http://hdl.handle.net/2440/100422.

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

MLA Handbook (7th Edition):

Alsulami, Dawlah Joodallah. “Semiparametric models for nonlinear spatio-temporal data with application to the United States housing prices indexes.” 2016. Web. 04 Jun 2020.

Vancouver:

Alsulami DJ. Semiparametric models for nonlinear spatio-temporal data with application to the United States housing prices indexes. [Internet] [Thesis]. University of Adelaide; 2016. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/2440/100422.

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

Council of Science Editors:

Alsulami DJ. Semiparametric models for nonlinear spatio-temporal data with application to the United States housing prices indexes. [Thesis]. University of Adelaide; 2016. Available from: http://hdl.handle.net/2440/100422

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


University of Colorado

22. Penner, Eric Matthew. An Essay in Semiparametric Structural Estimation.

Degree: PhD, Economics, 2017, University of Colorado

 I propose a multi-stage mixed sieve and kernel estimator for a partially linear regression model in a triangular system of equations. The model consists of… (more)

Subjects/Keywords: Endogeneity; Semiparametric Estimation; Statistics; Structural Estimation; Economic Theory; Statistical Models

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APA (6th Edition):

Penner, E. M. (2017). An Essay in Semiparametric Structural Estimation. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/econ_gradetds/76

Chicago Manual of Style (16th Edition):

Penner, Eric Matthew. “An Essay in Semiparametric Structural Estimation.” 2017. Doctoral Dissertation, University of Colorado. Accessed June 04, 2020. https://scholar.colorado.edu/econ_gradetds/76.

MLA Handbook (7th Edition):

Penner, Eric Matthew. “An Essay in Semiparametric Structural Estimation.” 2017. Web. 04 Jun 2020.

Vancouver:

Penner EM. An Essay in Semiparametric Structural Estimation. [Internet] [Doctoral dissertation]. University of Colorado; 2017. [cited 2020 Jun 04]. Available from: https://scholar.colorado.edu/econ_gradetds/76.

Council of Science Editors:

Penner EM. An Essay in Semiparametric Structural Estimation. [Doctoral Dissertation]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/econ_gradetds/76


Vanderbilt University

23. Liu, Qi. Rank-Based Semiparametric Methods: Covariate-Adjusted Spearman's Correlation with Probability-Scale Residuals and Cumulative Probability Models.

Degree: PhD, Biostatistics, 2016, Vanderbilt University

 In this dissertation, we develop semiparametric rank-based methods. These types of methods are particularly useful with skewed data, nonlinear relationships, and truncated measurements. Semiparametric rank-based… (more)

Subjects/Keywords: cumulative probability models; residuals; semiparametric models; rank-based statistics

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APA (6th Edition):

Liu, Q. (2016). Rank-Based Semiparametric Methods: Covariate-Adjusted Spearman's Correlation with Probability-Scale Residuals and Cumulative Probability Models. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-07222016-001733/ ;

Chicago Manual of Style (16th Edition):

Liu, Qi. “Rank-Based Semiparametric Methods: Covariate-Adjusted Spearman's Correlation with Probability-Scale Residuals and Cumulative Probability Models.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed June 04, 2020. http://etd.library.vanderbilt.edu/available/etd-07222016-001733/ ;.

MLA Handbook (7th Edition):

Liu, Qi. “Rank-Based Semiparametric Methods: Covariate-Adjusted Spearman's Correlation with Probability-Scale Residuals and Cumulative Probability Models.” 2016. Web. 04 Jun 2020.

Vancouver:

Liu Q. Rank-Based Semiparametric Methods: Covariate-Adjusted Spearman's Correlation with Probability-Scale Residuals and Cumulative Probability Models. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2020 Jun 04]. Available from: http://etd.library.vanderbilt.edu/available/etd-07222016-001733/ ;.

Council of Science Editors:

Liu Q. Rank-Based Semiparametric Methods: Covariate-Adjusted Spearman's Correlation with Probability-Scale Residuals and Cumulative Probability Models. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://etd.library.vanderbilt.edu/available/etd-07222016-001733/ ;


University of Wollongong

24. Neville, Sarah Elizabeth. Elaborate distribution semiparametric regression via mean field variational Bayes.

Degree: PhD, 2013, University of Wollongong

  Mean field variational Bayes (MFVB) is a fast, deterministic inference tool for use in Bayesian hierarchical models. We develop and examine the performance of… (more)

Subjects/Keywords: approximate Bayesian inference; variational approximation; semiparametric regression; continued fraction

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APA (6th Edition):

Neville, S. E. (2013). Elaborate distribution semiparametric regression via mean field variational Bayes. (Doctoral Dissertation). University of Wollongong. Retrieved from 0103 NUMERICAL AND COMPUTATIONAL MATHEMATICS, 0104 STATISTICS ; https://ro.uow.edu.au/theses/3958

Chicago Manual of Style (16th Edition):

Neville, Sarah Elizabeth. “Elaborate distribution semiparametric regression via mean field variational Bayes.” 2013. Doctoral Dissertation, University of Wollongong. Accessed June 04, 2020. 0103 NUMERICAL AND COMPUTATIONAL MATHEMATICS, 0104 STATISTICS ; https://ro.uow.edu.au/theses/3958.

MLA Handbook (7th Edition):

Neville, Sarah Elizabeth. “Elaborate distribution semiparametric regression via mean field variational Bayes.” 2013. Web. 04 Jun 2020.

Vancouver:

Neville SE. Elaborate distribution semiparametric regression via mean field variational Bayes. [Internet] [Doctoral dissertation]. University of Wollongong; 2013. [cited 2020 Jun 04]. Available from: 0103 NUMERICAL AND COMPUTATIONAL MATHEMATICS, 0104 STATISTICS ; https://ro.uow.edu.au/theses/3958.

Council of Science Editors:

Neville SE. Elaborate distribution semiparametric regression via mean field variational Bayes. [Doctoral Dissertation]. University of Wollongong; 2013. Available from: 0103 NUMERICAL AND COMPUTATIONAL MATHEMATICS, 0104 STATISTICS ; https://ro.uow.edu.au/theses/3958


University of Kansas

25. Qin, Lu. Comparing Bayesian parametric and semiparametric estimation of nonlinear relationships in structural equation models with ordinal data.

Degree: PhD, Psychology & Research in Education, 2018, University of Kansas

 The Bayesian parametric and semiparametric approaches are compared to recover the polynomial and nonpolynomial relationships among latent factors in the structural equation model (SEM). In… (more)

Subjects/Keywords: Educational psychology; nonlinear relationship; parametric approach; semiparametric approach

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APA (6th Edition):

Qin, L. (2018). Comparing Bayesian parametric and semiparametric estimation of nonlinear relationships in structural equation models with ordinal data. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/28025

Chicago Manual of Style (16th Edition):

Qin, Lu. “Comparing Bayesian parametric and semiparametric estimation of nonlinear relationships in structural equation models with ordinal data.” 2018. Doctoral Dissertation, University of Kansas. Accessed June 04, 2020. http://hdl.handle.net/1808/28025.

MLA Handbook (7th Edition):

Qin, Lu. “Comparing Bayesian parametric and semiparametric estimation of nonlinear relationships in structural equation models with ordinal data.” 2018. Web. 04 Jun 2020.

Vancouver:

Qin L. Comparing Bayesian parametric and semiparametric estimation of nonlinear relationships in structural equation models with ordinal data. [Internet] [Doctoral dissertation]. University of Kansas; 2018. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/1808/28025.

Council of Science Editors:

Qin L. Comparing Bayesian parametric and semiparametric estimation of nonlinear relationships in structural equation models with ordinal data. [Doctoral Dissertation]. University of Kansas; 2018. Available from: http://hdl.handle.net/1808/28025


University of Texas – Austin

26. Toth, Peter, Ph. D. Essays in econometrics.

Degree: PhD, Economics, 2018, University of Texas – Austin

 The first chapter of this dissertation considers a semiparametric version of the network formation model of Graham (2017). The two-way fixed-effects binary choice model allows… (more)

Subjects/Keywords: Semiparametric estimation; Network formation; Empirical games; Nonparametric estimation; Binary outcome

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APA (6th Edition):

Toth, Peter, P. D. (2018). Essays in econometrics. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/65905

Chicago Manual of Style (16th Edition):

Toth, Peter, Ph D. “Essays in econometrics.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed June 04, 2020. http://hdl.handle.net/2152/65905.

MLA Handbook (7th Edition):

Toth, Peter, Ph D. “Essays in econometrics.” 2018. Web. 04 Jun 2020.

Vancouver:

Toth, Peter PD. Essays in econometrics. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/2152/65905.

Council of Science Editors:

Toth, Peter PD. Essays in econometrics. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/65905


University of Minnesota

27. Sherwood, Benjamin Stanley. Quantile regression model selection.

Degree: PhD, Statistics, 2014, University of Minnesota

 Quantile regression models the conditional quantile of a response variable. Compared to least squares, which focuses on the conditional mean, it provides a more complete… (more)

Subjects/Keywords: Missing data; Model selection; Partial linear; Quantile regression; SCAD; Semiparametric

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APA (6th Edition):

Sherwood, B. S. (2014). Quantile regression model selection. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/163910

Chicago Manual of Style (16th Edition):

Sherwood, Benjamin Stanley. “Quantile regression model selection.” 2014. Doctoral Dissertation, University of Minnesota. Accessed June 04, 2020. http://hdl.handle.net/11299/163910.

MLA Handbook (7th Edition):

Sherwood, Benjamin Stanley. “Quantile regression model selection.” 2014. Web. 04 Jun 2020.

Vancouver:

Sherwood BS. Quantile regression model selection. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/11299/163910.

Council of Science Editors:

Sherwood BS. Quantile regression model selection. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/163910


University of Southern California

28. Lin, Wei. Missing covariates and high-dimensional variable selection in additive hazards regression.

Degree: PhD, Applied Mathematics, 2011, University of Southern California

 This dissertation addresses two challenging problems arising in inference with censored failure time data. The additive hazards model provides a unified framework for these problems… (more)

Subjects/Keywords: survival analysis; missing covariates; variable selection; semiparametric inference; empirical processes

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APA (6th Edition):

Lin, W. (2011). Missing covariates and high-dimensional variable selection in additive hazards regression. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/647043/rec/4098

Chicago Manual of Style (16th Edition):

Lin, Wei. “Missing covariates and high-dimensional variable selection in additive hazards regression.” 2011. Doctoral Dissertation, University of Southern California. Accessed June 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/647043/rec/4098.

MLA Handbook (7th Edition):

Lin, Wei. “Missing covariates and high-dimensional variable selection in additive hazards regression.” 2011. Web. 04 Jun 2020.

Vancouver:

Lin W. Missing covariates and high-dimensional variable selection in additive hazards regression. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Jun 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/647043/rec/4098.

Council of Science Editors:

Lin W. Missing covariates and high-dimensional variable selection in additive hazards regression. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/647043/rec/4098


Colorado State University

29. Herndon, Wade Wilson. Testing and adjusting for informative sampling in survey data.

Degree: PhD, Statistics, 2007, Colorado State University

 Fitting models to survey data can be problematic due to the potentially complex sampling mechanism through which the observed data are selected. Survey weights have… (more)

Subjects/Keywords: survey; sampling; semiparametric; statistics

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APA (6th Edition):

Herndon, W. W. (2007). Testing and adjusting for informative sampling in survey data. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/83778

Chicago Manual of Style (16th Edition):

Herndon, Wade Wilson. “Testing and adjusting for informative sampling in survey data.” 2007. Doctoral Dissertation, Colorado State University. Accessed June 04, 2020. http://hdl.handle.net/10217/83778.

MLA Handbook (7th Edition):

Herndon, Wade Wilson. “Testing and adjusting for informative sampling in survey data.” 2007. Web. 04 Jun 2020.

Vancouver:

Herndon WW. Testing and adjusting for informative sampling in survey data. [Internet] [Doctoral dissertation]. Colorado State University; 2007. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10217/83778.

Council of Science Editors:

Herndon WW. Testing and adjusting for informative sampling in survey data. [Doctoral Dissertation]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/83778


Colorado State University

30. Liu, Jialuo. Statistical modeling and inference for spatial and spatio-temporal data.

Degree: PhD, Statistics, 2020, Colorado State University

 Spatio-temporal processes with a continuous index in space and time are encountered in many scientific disciplines such as climatology, environmental sciences, and public health. A… (more)

Subjects/Keywords: random fields; spatial statistics; Gaussian process; spatio-temporal statistics; semiparametric modeling

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

APA (6th Edition):

Liu, J. (2020). Statistical modeling and inference for spatial and spatio-temporal data. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/199824

Chicago Manual of Style (16th Edition):

Liu, Jialuo. “Statistical modeling and inference for spatial and spatio-temporal data.” 2020. Doctoral Dissertation, Colorado State University. Accessed June 04, 2020. http://hdl.handle.net/10217/199824.

MLA Handbook (7th Edition):

Liu, Jialuo. “Statistical modeling and inference for spatial and spatio-temporal data.” 2020. Web. 04 Jun 2020.

Vancouver:

Liu J. Statistical modeling and inference for spatial and spatio-temporal data. [Internet] [Doctoral dissertation]. Colorado State University; 2020. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10217/199824.

Council of Science Editors:

Liu J. Statistical modeling and inference for spatial and spatio-temporal data. [Doctoral Dissertation]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/199824

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