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Showing records 1 – 30 of
197 total matches.

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Dates

- 2016 – 2020 (55)
- 2011 – 2015 (88)
- 2006 – 2010 (51)
- 2001 – 2005 (12)

Universities

- Texas A&M University (14)
- University of Michigan (13)
- Virginia Tech (13)

Department

- Statistics (46)
- Biostatistics (21)
- Economics (13)

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Texas A&M University

1.
Lin, Zhongjian.
* Semiparametric* Methods and Applications.

Degree: 2014, Texas A&M University

URL: http://hdl.handle.net/1969.1/152663

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

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

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

URL: http://hdl.handle.net/2152/68088

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: etd-06152010-201208 ; https://digitalcommons.lsu.edu/gradschool_theses/1902

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1813/41052

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1957/14126

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1969.1/ETD-TAMU-3075

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/2097/13762

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.escholarship.org/uc/item/5x10t818

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1262295445

► 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

Record Details Similar Records

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

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

URL: http://hdl.handle.net/2440/82605

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1813/41100

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/10217/68166

► 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

Record Details Similar Records

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

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

URL: https://etda.libraries.psu.edu/catalog/9968

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

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

URL: http://www.escholarship.org/uc/item/4cs716rc

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1969.1/ETD-TAMU-1628

► 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…

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://curate.nd.edu/show/c821gh95m0x

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

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

URL: http://nrs.harvard.edu/urn-3:HUL.InstRepos:13070048

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

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

URL: http://hdl.handle.net/10919/27708

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholarcommons.sc.edu/etd/4937

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

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

URL: https://scholarworks.umass.edu/theses/1120

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2440/100422

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://scholar.colorado.edu/econ_gradetds/76

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://etd.library.vanderbilt.edu/available/etd-07222016-001733/ ;

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: 0103 NUMERICAL AND COMPUTATIONAL MATHEMATICS, 0104 STATISTICS ; https://ro.uow.edu.au/theses/3958

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

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

URL: http://hdl.handle.net/1808/28025

► 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

Record Details Similar Records

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

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

URL: http://hdl.handle.net/2152/65905

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/11299/163910

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

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

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/647043/rec/4098

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10217/83778

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

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

URL: http://hdl.handle.net/10217/199824

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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