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You searched for subject:(Semiparametric Regression). Showing records 1 – 30 of 50 total matches.

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Texas A&M University

1. 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 October 23, 2019. 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. 23 Oct 2019.

Vancouver:

Maity A. Efficient inference in general semiparametric regression models. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Oct 23]. 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


Penn State University

2. 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 October 23, 2019. https://etda.libraries.psu.edu/catalog/9968.

MLA Handbook (7th Edition):

Kai, Bo. “Robust Nonparametric and Semiparametric Modeling.” 2009. Web. 23 Oct 2019.

Vancouver:

Kai B. Robust Nonparametric and Semiparametric Modeling. [Internet] [Doctoral dissertation]. Penn State University; 2009. [cited 2019 Oct 23]. 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 South Carolina

3. 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 October 23, 2019. https://scholarcommons.sc.edu/etd/4937.

MLA Handbook (7th Edition):

Li, Xiang. “Semiparametric Regression In The Presence Of Measurement Error.” 2018. Web. 23 Oct 2019.

Vancouver:

Li X. Semiparametric Regression In The Presence Of Measurement Error. [Internet] [Doctoral dissertation]. University of South Carolina; 2018. [cited 2019 Oct 23]. 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


University of Wollongong

4. 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 October 23, 2019. 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. 23 Oct 2019.

Vancouver:

Neville SE. Elaborate distribution semiparametric regression via mean field variational Bayes. [Internet] [Doctoral dissertation]. University of Wollongong; 2013. [cited 2019 Oct 23]. 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

5. 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 October 23, 2019. 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. 23 Oct 2019.

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 2019 Oct 23]. 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 Minnesota

6. 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 October 23, 2019. http://hdl.handle.net/11299/163910.

MLA Handbook (7th Edition):

Sherwood, Benjamin Stanley. “Quantile regression model selection.” 2014. Web. 23 Oct 2019.

Vancouver:

Sherwood BS. Quantile regression model selection. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 Oct 23]. 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


Clemson University

7. Wang, Dewei. Nonparametric and semiparametric group testing regression models.

Degree: PhD, Mathematical Science, 2014, Clemson University

  This dissertation consists of three projects in the area of group testing. The method of group testing, through the use of pooling, has proven… (more)

Subjects/Keywords: Group testing; Latent data; Nonparametric regression; Pooled data; Semiparametric regression; Sensitivity and specificity

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APA (6th Edition):

Wang, D. (2014). Nonparametric and semiparametric group testing regression models. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1396

Chicago Manual of Style (16th Edition):

Wang, Dewei. “Nonparametric and semiparametric group testing regression models.” 2014. Doctoral Dissertation, Clemson University. Accessed October 23, 2019. https://tigerprints.clemson.edu/all_dissertations/1396.

MLA Handbook (7th Edition):

Wang, Dewei. “Nonparametric and semiparametric group testing regression models.” 2014. Web. 23 Oct 2019.

Vancouver:

Wang D. Nonparametric and semiparametric group testing regression models. [Internet] [Doctoral dissertation]. Clemson University; 2014. [cited 2019 Oct 23]. Available from: https://tigerprints.clemson.edu/all_dissertations/1396.

Council of Science Editors:

Wang D. Nonparametric and semiparametric group testing regression models. [Doctoral Dissertation]. Clemson University; 2014. Available from: https://tigerprints.clemson.edu/all_dissertations/1396


University of Adelaide

8. Lee, Sooyoung. Statistical inference of nonlinear Granger causality: a semiparametric time series regression analysis.

Degree: 2013, University of Adelaide

 Since the seminal work of Granger (1969), Granger causality has become a useful concept and tool in the study of the dynamic linkages between economic… (more)

Subjects/Keywords: time series regression; semiparametric regression; nonlinear Granger causality; partially linear model; estimation and inference

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APA (6th Edition):

Lee, S. (2013). Statistical inference of nonlinear Granger causality: a semiparametric time series regression analysis. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/81576

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):

Lee, Sooyoung. “Statistical inference of nonlinear Granger causality: a semiparametric time series regression analysis.” 2013. Thesis, University of Adelaide. Accessed October 23, 2019. http://hdl.handle.net/2440/81576.

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

MLA Handbook (7th Edition):

Lee, Sooyoung. “Statistical inference of nonlinear Granger causality: a semiparametric time series regression analysis.” 2013. Web. 23 Oct 2019.

Vancouver:

Lee S. Statistical inference of nonlinear Granger causality: a semiparametric time series regression analysis. [Internet] [Thesis]. University of Adelaide; 2013. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/2440/81576.

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

Council of Science Editors:

Lee S. Statistical inference of nonlinear Granger causality: a semiparametric time series regression analysis. [Thesis]. University of Adelaide; 2013. Available from: http://hdl.handle.net/2440/81576

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


University of Georgia

9. Wang, Guannan. High/ultra-high dimensional single-index models.

Degree: PhD, Statistics, 2015, University of Georgia

 Single-index models are useful and fundamental tools for handling "curse of dimensionality" problems in nonparametric regression. In addition to that, variable selection also plays an… (more)

Subjects/Keywords: B-spline; diverging parameters; NP dimensionality; SCAD; semiparametric regression; weakly dependent data.

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APA (6th Edition):

Wang, G. (2015). High/ultra-high dimensional single-index models. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/wang_guannan_201505_phd

Chicago Manual of Style (16th Edition):

Wang, Guannan. “High/ultra-high dimensional single-index models.” 2015. Doctoral Dissertation, University of Georgia. Accessed October 23, 2019. http://purl.galileo.usg.edu/uga_etd/wang_guannan_201505_phd.

MLA Handbook (7th Edition):

Wang, Guannan. “High/ultra-high dimensional single-index models.” 2015. Web. 23 Oct 2019.

Vancouver:

Wang G. High/ultra-high dimensional single-index models. [Internet] [Doctoral dissertation]. University of Georgia; 2015. [cited 2019 Oct 23]. Available from: http://purl.galileo.usg.edu/uga_etd/wang_guannan_201505_phd.

Council of Science Editors:

Wang G. High/ultra-high dimensional single-index models. [Doctoral Dissertation]. University of Georgia; 2015. Available from: http://purl.galileo.usg.edu/uga_etd/wang_guannan_201505_phd


Louisiana State University

10. Pandit, Mahesh. Environmental Kuznets Curve In Water Pollution: A Semiparametric Approach.

Degree: PhD, Agricultural Economics, 2013, Louisiana State University

 The relationship between pollution and per capita income generally appears as an inverted U-shaped curve. This inverted U-shaped curve is known as the environmental Kuznets… (more)

Subjects/Keywords: Environmental Kuznets Curve; Water Quality; Semiparametric Model; Seemingly Unrelated Partial Linear Regression; Nonparametric Model

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APA (6th Edition):

Pandit, M. (2013). Environmental Kuznets Curve In Water Pollution: A Semiparametric Approach. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-07082013-110639 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2647

Chicago Manual of Style (16th Edition):

Pandit, Mahesh. “Environmental Kuznets Curve In Water Pollution: A Semiparametric Approach.” 2013. Doctoral Dissertation, Louisiana State University. Accessed October 23, 2019. etd-07082013-110639 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2647.

MLA Handbook (7th Edition):

Pandit, Mahesh. “Environmental Kuznets Curve In Water Pollution: A Semiparametric Approach.” 2013. Web. 23 Oct 2019.

Vancouver:

Pandit M. Environmental Kuznets Curve In Water Pollution: A Semiparametric Approach. [Internet] [Doctoral dissertation]. Louisiana State University; 2013. [cited 2019 Oct 23]. Available from: etd-07082013-110639 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2647.

Council of Science Editors:

Pandit M. Environmental Kuznets Curve In Water Pollution: A Semiparametric Approach. [Doctoral Dissertation]. Louisiana State University; 2013. Available from: etd-07082013-110639 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2647


University of Tennessee – Knoxville

11. Elboeva, Okila R. Essays in Applied Economics: Applications of Transformed Ordinal Quantile Regression.

Degree: 2016, University of Tennessee – Knoxville

 This dissertation consists of three essays on the application of Transformed Ordinal Quantile Regression (TORQUE) developed by Hong and He (2010). TORQUE is based on… (more)

Subjects/Keywords: Semiparametric estimation; quantile regression; TORQUE; Lasso; fertility; happiness; marijuana; Health Economics; Other Economics; Public Economics

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APA (6th Edition):

Elboeva, O. R. (2016). Essays in Applied Economics: Applications of Transformed Ordinal Quantile Regression. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/3909

Chicago Manual of Style (16th Edition):

Elboeva, Okila R. “Essays in Applied Economics: Applications of Transformed Ordinal Quantile Regression.” 2016. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed October 23, 2019. https://trace.tennessee.edu/utk_graddiss/3909.

MLA Handbook (7th Edition):

Elboeva, Okila R. “Essays in Applied Economics: Applications of Transformed Ordinal Quantile Regression.” 2016. Web. 23 Oct 2019.

Vancouver:

Elboeva OR. Essays in Applied Economics: Applications of Transformed Ordinal Quantile Regression. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2016. [cited 2019 Oct 23]. Available from: https://trace.tennessee.edu/utk_graddiss/3909.

Council of Science Editors:

Elboeva OR. Essays in Applied Economics: Applications of Transformed Ordinal Quantile Regression. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2016. Available from: https://trace.tennessee.edu/utk_graddiss/3909


University of Sydney

12. Ma, Xinyi. The effect of the random breath testing policy in Australia .

Degree: 2013, University of Sydney

 Road crashes are a major cause of death and serious injuries in many countries and extract a high cost on society. Drink driving is one… (more)

Subjects/Keywords: Random breath testing; RBT; Interrupted time series analysis; ITS; Semiparametric regression model

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APA (6th Edition):

Ma, X. (2013). The effect of the random breath testing policy in Australia . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/10281

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):

Ma, Xinyi. “The effect of the random breath testing policy in Australia .” 2013. Thesis, University of Sydney. Accessed October 23, 2019. http://hdl.handle.net/2123/10281.

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

MLA Handbook (7th Edition):

Ma, Xinyi. “The effect of the random breath testing policy in Australia .” 2013. Web. 23 Oct 2019.

Vancouver:

Ma X. The effect of the random breath testing policy in Australia . [Internet] [Thesis]. University of Sydney; 2013. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/2123/10281.

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

Council of Science Editors:

Ma X. The effect of the random breath testing policy in Australia . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/10281

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


Virginia Tech

13. Jaiprakash, Puneet. Two Essays on Equity Mutual Funds.

Degree: PhD, Finance, Insurance, and Business Law, 2011, Virginia Tech

 Previous research has shown that expected market returns vary over time and that this variation can be predicted by variables such as dividend yields and… (more)

Subjects/Keywords: Fund Flows; Conflicts of Interest; Semiparametric Regression; Flow-performance Relationship; Return Predictability; Macroeconomic Variables

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APA (6th Edition):

Jaiprakash, P. (2011). Two Essays on Equity Mutual Funds. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/39224

Chicago Manual of Style (16th Edition):

Jaiprakash, Puneet. “Two Essays on Equity Mutual Funds.” 2011. Doctoral Dissertation, Virginia Tech. Accessed October 23, 2019. http://hdl.handle.net/10919/39224.

MLA Handbook (7th Edition):

Jaiprakash, Puneet. “Two Essays on Equity Mutual Funds.” 2011. Web. 23 Oct 2019.

Vancouver:

Jaiprakash P. Two Essays on Equity Mutual Funds. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10919/39224.

Council of Science Editors:

Jaiprakash P. Two Essays on Equity Mutual Funds. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/39224


University of Kentucky

14. Fan, Liangdong. ESTIMATION IN PARTIALLY LINEAR MODELS WITH CORRELATED OBSERVATIONS AND CHANGE-POINT MODELS.

Degree: 2018, University of Kentucky

 Methods of estimating parametric and nonparametric components, as well as properties of the corresponding estimators, have been examined in partially linear models by Wahba [1987],… (more)

Subjects/Keywords: Semiparametric models; Change-point models; Correlated observations; Backfitting; Kernel regression; Voice rehabilitation; Statistical Models

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APA (6th Edition):

Fan, L. (2018). ESTIMATION IN PARTIALLY LINEAR MODELS WITH CORRELATED OBSERVATIONS AND CHANGE-POINT MODELS. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/statistics_etds/32

Chicago Manual of Style (16th Edition):

Fan, Liangdong. “ESTIMATION IN PARTIALLY LINEAR MODELS WITH CORRELATED OBSERVATIONS AND CHANGE-POINT MODELS.” 2018. Doctoral Dissertation, University of Kentucky. Accessed October 23, 2019. https://uknowledge.uky.edu/statistics_etds/32.

MLA Handbook (7th Edition):

Fan, Liangdong. “ESTIMATION IN PARTIALLY LINEAR MODELS WITH CORRELATED OBSERVATIONS AND CHANGE-POINT MODELS.” 2018. Web. 23 Oct 2019.

Vancouver:

Fan L. ESTIMATION IN PARTIALLY LINEAR MODELS WITH CORRELATED OBSERVATIONS AND CHANGE-POINT MODELS. [Internet] [Doctoral dissertation]. University of Kentucky; 2018. [cited 2019 Oct 23]. Available from: https://uknowledge.uky.edu/statistics_etds/32.

Council of Science Editors:

Fan L. ESTIMATION IN PARTIALLY LINEAR MODELS WITH CORRELATED OBSERVATIONS AND CHANGE-POINT MODELS. [Doctoral Dissertation]. University of Kentucky; 2018. Available from: https://uknowledge.uky.edu/statistics_etds/32


North Carolina State University

15. Ni, Xiao. Variable Selection in Partial Linear Models and Semiparametric Mixed Models.

Degree: PhD, Statistics, 2008, North Carolina State University

Subjects/Keywords: penalized likelihood; semiparametric regression; smoothing splines

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APA (6th Edition):

Ni, X. (2008). Variable Selection in Partial Linear Models and Semiparametric Mixed Models. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/3936

Chicago Manual of Style (16th Edition):

Ni, Xiao. “Variable Selection in Partial Linear Models and Semiparametric Mixed Models.” 2008. Doctoral Dissertation, North Carolina State University. Accessed October 23, 2019. http://www.lib.ncsu.edu/resolver/1840.16/3936.

MLA Handbook (7th Edition):

Ni, Xiao. “Variable Selection in Partial Linear Models and Semiparametric Mixed Models.” 2008. Web. 23 Oct 2019.

Vancouver:

Ni X. Variable Selection in Partial Linear Models and Semiparametric Mixed Models. [Internet] [Doctoral dissertation]. North Carolina State University; 2008. [cited 2019 Oct 23]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3936.

Council of Science Editors:

Ni X. Variable Selection in Partial Linear Models and Semiparametric Mixed Models. [Doctoral Dissertation]. North Carolina State University; 2008. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3936


University of Rochester

16. Xia, Changming; Liang, Hua. Generalized Semiparametric Linear Mixed-effects Models.

Degree: PhD, 2015, University of Rochester

 This dissertation proposes a novel method to compare tumor growth patterns and evaluates treatment effects using semiparametric linear mixed-effects (SLME) model, which allows a flexible… (more)

Subjects/Keywords: Mixed-effects; Generalized Linear Models; Semiparametric Regression; Generalized Maximum Likelihood; Reproducing Kernel Hilbert Space

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APA (6th Edition):

Xia, Changming; Liang, H. (2015). Generalized Semiparametric Linear Mixed-effects Models. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/30126

Chicago Manual of Style (16th Edition):

Xia, Changming; Liang, Hua. “Generalized Semiparametric Linear Mixed-effects Models.” 2015. Doctoral Dissertation, University of Rochester. Accessed October 23, 2019. http://hdl.handle.net/1802/30126.

MLA Handbook (7th Edition):

Xia, Changming; Liang, Hua. “Generalized Semiparametric Linear Mixed-effects Models.” 2015. Web. 23 Oct 2019.

Vancouver:

Xia, Changming; Liang H. Generalized Semiparametric Linear Mixed-effects Models. [Internet] [Doctoral dissertation]. University of Rochester; 2015. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1802/30126.

Council of Science Editors:

Xia, Changming; Liang H. Generalized Semiparametric Linear Mixed-effects Models. [Doctoral Dissertation]. University of Rochester; 2015. Available from: http://hdl.handle.net/1802/30126


University of Iowa

17. Zhang, Tianyang. Partly parametric generalized additive model.

Degree: PhD, Statistics, 2010, University of Iowa

  In many scientific studies, the response variable bears a generalized nonlinear regression relationship with a certain covariate of interest, which may, however, be confounded… (more)

Subjects/Keywords: Ecological; Exponential families; GAM; Nonlinear Regression; Penalized Likelihood; Semiparametric; Statistics and Probability

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APA (6th Edition):

Zhang, T. (2010). Partly parametric generalized additive model. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/913

Chicago Manual of Style (16th Edition):

Zhang, Tianyang. “Partly parametric generalized additive model.” 2010. Doctoral Dissertation, University of Iowa. Accessed October 23, 2019. https://ir.uiowa.edu/etd/913.

MLA Handbook (7th Edition):

Zhang, Tianyang. “Partly parametric generalized additive model.” 2010. Web. 23 Oct 2019.

Vancouver:

Zhang T. Partly parametric generalized additive model. [Internet] [Doctoral dissertation]. University of Iowa; 2010. [cited 2019 Oct 23]. Available from: https://ir.uiowa.edu/etd/913.

Council of Science Editors:

Zhang T. Partly parametric generalized additive model. [Doctoral Dissertation]. University of Iowa; 2010. Available from: https://ir.uiowa.edu/etd/913


West Virginia University

18. Wang, Taining. Three Essays on Nonparametric Hypothesis Testing and Stochastic Frontier Analysis.

Degree: PhD, Economics, 2019, West Virginia University

  The first chapter proposes a nonparametric test of significant variables in the partial derivative of a regression mean function. The test is constructed through… (more)

Subjects/Keywords: Nonparametric Hypothesis Testing; Semiparametric Regression; Stochastic Frontier Analysis; Leverage; Technical Efficiency; Econometrics

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

APA (6th Edition):

Wang, T. (2019). Three Essays on Nonparametric Hypothesis Testing and Stochastic Frontier Analysis. (Doctoral Dissertation). West Virginia University. Retrieved from https://researchrepository.wvu.edu/etd/3930

Chicago Manual of Style (16th Edition):

Wang, Taining. “Three Essays on Nonparametric Hypothesis Testing and Stochastic Frontier Analysis.” 2019. Doctoral Dissertation, West Virginia University. Accessed October 23, 2019. https://researchrepository.wvu.edu/etd/3930.

MLA Handbook (7th Edition):

Wang, Taining. “Three Essays on Nonparametric Hypothesis Testing and Stochastic Frontier Analysis.” 2019. Web. 23 Oct 2019.

Vancouver:

Wang T. Three Essays on Nonparametric Hypothesis Testing and Stochastic Frontier Analysis. [Internet] [Doctoral dissertation]. West Virginia University; 2019. [cited 2019 Oct 23]. Available from: https://researchrepository.wvu.edu/etd/3930.

Council of Science Editors:

Wang T. Three Essays on Nonparametric Hypothesis Testing and Stochastic Frontier Analysis. [Doctoral Dissertation]. West Virginia University; 2019. Available from: https://researchrepository.wvu.edu/etd/3930


University of Georgia

19. Volfovicz Leon, Roberto. Modeling the size-density relationship of loblolly pine (Pinus taeda L.) plantations.

Degree: PhD, Forest Resources, 2011, University of Georgia

 The effect of stand factors on the limiting size-density relationship was studied. Management intensity, planting density, and site index significantly impacted the parameters of the… (more)

Subjects/Keywords: Self-thinning; Size-density trajectories; Mixed models; Semiparametric regression; Stochastic frontier regression; Stand density index; Loblolly pine

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APA (6th Edition):

Volfovicz Leon, R. (2011). Modeling the size-density relationship of loblolly pine (Pinus taeda L.) plantations. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/volfovicz-leon_roberto_201108_phd

Chicago Manual of Style (16th Edition):

Volfovicz Leon, Roberto. “Modeling the size-density relationship of loblolly pine (Pinus taeda L.) plantations.” 2011. Doctoral Dissertation, University of Georgia. Accessed October 23, 2019. http://purl.galileo.usg.edu/uga_etd/volfovicz-leon_roberto_201108_phd.

MLA Handbook (7th Edition):

Volfovicz Leon, Roberto. “Modeling the size-density relationship of loblolly pine (Pinus taeda L.) plantations.” 2011. Web. 23 Oct 2019.

Vancouver:

Volfovicz Leon R. Modeling the size-density relationship of loblolly pine (Pinus taeda L.) plantations. [Internet] [Doctoral dissertation]. University of Georgia; 2011. [cited 2019 Oct 23]. Available from: http://purl.galileo.usg.edu/uga_etd/volfovicz-leon_roberto_201108_phd.

Council of Science Editors:

Volfovicz Leon R. Modeling the size-density relationship of loblolly pine (Pinus taeda L.) plantations. [Doctoral Dissertation]. University of Georgia; 2011. Available from: http://purl.galileo.usg.edu/uga_etd/volfovicz-leon_roberto_201108_phd


Universidade do Rio Grande do Sul

20. Torrent, Hudson da Silva. Estimação não-paramétrica e semi-paramétrica de fronteiras de produção.

Degree: 2010, Universidade do Rio Grande do Sul

Existe uma grande e crescente literatura sobre especificação e estimação de fronteiras de produção e, portanto, de eficiência de unidades produtivas. Nesta tese, o foco… (more)

Subjects/Keywords: Estimação; Nonparametric frontier models; Local exponential regression; Modelo matemático; Inferencia nao parametrica; Local linear regression; Inferência estatística; Additive models Semiparametric regression; Classical Backfitting; Smooth Backfitting

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APA (6th Edition):

Torrent, H. d. S. (2010). Estimação não-paramétrica e semi-paramétrica de fronteiras de produção. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/25786

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):

Torrent, Hudson da Silva. “Estimação não-paramétrica e semi-paramétrica de fronteiras de produção.” 2010. Thesis, Universidade do Rio Grande do Sul. Accessed October 23, 2019. http://hdl.handle.net/10183/25786.

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

MLA Handbook (7th Edition):

Torrent, Hudson da Silva. “Estimação não-paramétrica e semi-paramétrica de fronteiras de produção.” 2010. Web. 23 Oct 2019.

Vancouver:

Torrent HdS. Estimação não-paramétrica e semi-paramétrica de fronteiras de produção. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2010. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10183/25786.

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

Council of Science Editors:

Torrent HdS. Estimação não-paramétrica e semi-paramétrica de fronteiras de produção. [Thesis]. Universidade do Rio Grande do Sul; 2010. Available from: http://hdl.handle.net/10183/25786

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


Texas A&M University

21. Liang, Liang. Semiparametric Efficient Estimators in Primary and Secondary Analysis of Case-Control Studies.

Degree: 2017, Texas A&M University

 As a cost-efficient alternative to cohort design, case-control design is widely used in epidemiological studies. The primary analysis of the case-control studies focuses on the… (more)

Subjects/Keywords: Biased samples; Case-control study; Gene-environment interaction; Primary Analysis; Secondary analysis; Semiparametric estimation; Heteroscedastic errors; Quantile regression

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

APA (6th Edition):

Liang, L. (2017). Semiparametric Efficient Estimators in Primary and Secondary Analysis of Case-Control Studies. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161456

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):

Liang, Liang. “Semiparametric Efficient Estimators in Primary and Secondary Analysis of Case-Control Studies.” 2017. Thesis, Texas A&M University. Accessed October 23, 2019. http://hdl.handle.net/1969.1/161456.

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

MLA Handbook (7th Edition):

Liang, Liang. “Semiparametric Efficient Estimators in Primary and Secondary Analysis of Case-Control Studies.” 2017. Web. 23 Oct 2019.

Vancouver:

Liang L. Semiparametric Efficient Estimators in Primary and Secondary Analysis of Case-Control Studies. [Internet] [Thesis]. Texas A&M University; 2017. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1969.1/161456.

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

Council of Science Editors:

Liang L. Semiparametric Efficient Estimators in Primary and Secondary Analysis of Case-Control Studies. [Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161456

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


University of Technology, Sydney

22. Menictas, M. Variational inference for heteroscedastic and longitudinal regression models.

Degree: 2015, University of Technology, Sydney

 The focus of this thesis is on the development and assessment of mean field variational Bayes (MFVB), which is a fast, deterministic tool for inference… (more)

Subjects/Keywords: Mean field variational Bayes (MFVB).; Bayesian hierarchical model setting.; Markov chain Monte Carlo (MCMC) benchmark.; Heteroscedastic and longitudinal semiparametric regression models.

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APA (6th Edition):

Menictas, M. (2015). Variational inference for heteroscedastic and longitudinal regression models. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/38942

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):

Menictas, M. “Variational inference for heteroscedastic and longitudinal regression models.” 2015. Thesis, University of Technology, Sydney. Accessed October 23, 2019. http://hdl.handle.net/10453/38942.

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

MLA Handbook (7th Edition):

Menictas, M. “Variational inference for heteroscedastic and longitudinal regression models.” 2015. Web. 23 Oct 2019.

Vancouver:

Menictas M. Variational inference for heteroscedastic and longitudinal regression models. [Internet] [Thesis]. University of Technology, Sydney; 2015. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10453/38942.

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

Council of Science Editors:

Menictas M. Variational inference for heteroscedastic and longitudinal regression models. [Thesis]. University of Technology, Sydney; 2015. Available from: http://hdl.handle.net/10453/38942

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


Virginia Tech

23. Starnes, Brett Alden. Asymptotic Results for Model Robust Regression.

Degree: PhD, Statistics, 1999, Virginia Tech

 Since the mid 1980's many statisticians have studied methods for combining parametric and nonparametric esimates to improve the quality of fits in a regression problem.… (more)

Subjects/Keywords: Mixing Parameter; Nonparametric; Parametric; Asymptotic; Convergence Rates; Regression; Semiparametric

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

APA (6th Edition):

Starnes, B. A. (1999). Asymptotic Results for Model Robust Regression. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/30244

Chicago Manual of Style (16th Edition):

Starnes, Brett Alden. “Asymptotic Results for Model Robust Regression.” 1999. Doctoral Dissertation, Virginia Tech. Accessed October 23, 2019. http://hdl.handle.net/10919/30244.

MLA Handbook (7th Edition):

Starnes, Brett Alden. “Asymptotic Results for Model Robust Regression.” 1999. Web. 23 Oct 2019.

Vancouver:

Starnes BA. Asymptotic Results for Model Robust Regression. [Internet] [Doctoral dissertation]. Virginia Tech; 1999. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10919/30244.

Council of Science Editors:

Starnes BA. Asymptotic Results for Model Robust Regression. [Doctoral Dissertation]. Virginia Tech; 1999. Available from: http://hdl.handle.net/10919/30244


Virginia Tech

24. Clark, Seth K. Model Robust Regression Based on Generalized Estimating Equations.

Degree: PhD, Statistics, 2002, Virginia Tech

 One form of model robust regression (MRR) predicts mean response as a convex combination of a parametric and a nonparametric prediction. MRR is a semiparametric(more)

Subjects/Keywords: Local Model; Nonparametric Regression; Semiparametric; Model Misspecification

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APA (6th Edition):

Clark, S. K. (2002). Model Robust Regression Based on Generalized Estimating Equations. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/26588

Chicago Manual of Style (16th Edition):

Clark, Seth K. “Model Robust Regression Based on Generalized Estimating Equations.” 2002. Doctoral Dissertation, Virginia Tech. Accessed October 23, 2019. http://hdl.handle.net/10919/26588.

MLA Handbook (7th Edition):

Clark, Seth K. “Model Robust Regression Based on Generalized Estimating Equations.” 2002. Web. 23 Oct 2019.

Vancouver:

Clark SK. Model Robust Regression Based on Generalized Estimating Equations. [Internet] [Doctoral dissertation]. Virginia Tech; 2002. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10919/26588.

Council of Science Editors:

Clark SK. Model Robust Regression Based on Generalized Estimating Equations. [Doctoral Dissertation]. Virginia Tech; 2002. Available from: http://hdl.handle.net/10919/26588


University of Florida

25. Song,Jihyun. Some Contributions to the Equivalence of Prospective and Retrospective Inferences in Case-Control Studies.

Degree: PhD, Statistics, 2011, University of Florida

 My dissertation focuses on equivalence issues related to prospective and retrospective inferences in case-control studies. In case-control studies, one traces the exposure history of an… (more)

Subjects/Keywords: Case control studies; Consistent estimators; Diseases; Inference; Logistic regression; Maximum likelihood estimations; Maximum likelihood estimators; Parametric models; Regression analysis; Wildlife population estimation; bayesian  – case  – control  – error  – measurement  – prospective  – retrospective  – semiparametric

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

APA (6th Edition):

Song,Jihyun. (2011). Some Contributions to the Equivalence of Prospective and Retrospective Inferences in Case-Control Studies. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043213

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Song,Jihyun. “Some Contributions to the Equivalence of Prospective and Retrospective Inferences in Case-Control Studies.” 2011. Doctoral Dissertation, University of Florida. Accessed October 23, 2019. http://ufdc.ufl.edu/UFE0043213.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Song,Jihyun. “Some Contributions to the Equivalence of Prospective and Retrospective Inferences in Case-Control Studies.” 2011. Web. 23 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Song,Jihyun. Some Contributions to the Equivalence of Prospective and Retrospective Inferences in Case-Control Studies. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Oct 23]. Available from: http://ufdc.ufl.edu/UFE0043213.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Song,Jihyun. Some Contributions to the Equivalence of Prospective and Retrospective Inferences in Case-Control Studies. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043213

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Texas A&M University

26. Liu, Lian. Topics in measurement error and missing data problems.

Degree: 2009, Texas A&M University

Subjects/Keywords: Measurement Error; Semiparametric Regression; Missing Genotype; Linkage Disequilibrium Mapping; QTL

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

APA (6th Edition):

Liu, L. (2009). Topics in measurement error and missing data problems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1627

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, Lian. “Topics in measurement error and missing data problems.” 2009. Thesis, Texas A&M University. Accessed October 23, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1627.

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

MLA Handbook (7th Edition):

Liu, Lian. “Topics in measurement error and missing data problems.” 2009. Web. 23 Oct 2019.

Vancouver:

Liu L. Topics in measurement error and missing data problems. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1627.

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

Council of Science Editors:

Liu L. Topics in measurement error and missing data problems. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1627

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

27. Wei, Jiawei. Secondary Analysis of Case-Control Studies in Genomic Contexts.

Degree: 2011, Texas A&M University

 This dissertation consists of five independent projects. In each project, a novel statistical method was developed to address a practical problem encountered in genomic contexts.… (more)

Subjects/Keywords: Semiparametric Regression; Case-Control; Score Test; Model Selection; Classification

…constant nonparametric effect in a general semiparametric regression model when there is the… …FOR CONSTANT NONPARAMETRIC EFFECTS IN GENERAL SEMIPARAMETRIC REGRESSION MODELS WITH… …general semiparametric regression model when there is the potential for interaction between the… …nonparametric effects in a general semiparametric regression model when there is the potential for… …logistic regression of D on the covariates. Now that we know that the semiparametric efficient… 

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

APA (6th Edition):

Wei, J. (2011). Secondary Analysis of Case-Control Studies in Genomic Contexts. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8269

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

Chicago Manual of Style (16th Edition):

Wei, Jiawei. “Secondary Analysis of Case-Control Studies in Genomic Contexts.” 2011. Thesis, Texas A&M University. Accessed October 23, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8269.

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

MLA Handbook (7th Edition):

Wei, Jiawei. “Secondary Analysis of Case-Control Studies in Genomic Contexts.” 2011. Web. 23 Oct 2019.

Vancouver:

Wei J. Secondary Analysis of Case-Control Studies in Genomic Contexts. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8269.

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

Council of Science Editors:

Wei J. Secondary Analysis of Case-Control Studies in Genomic Contexts. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8269

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


University of Colorado

28. Geng, Xin. Essays on Nonparametric Estimation of Partially Linear Models Under Endogeneity.

Degree: PhD, Economics, 2015, University of Colorado

  We propose a kernel based estimator for a partially linear model in triangular systems where endogenous variables appear both in the nonparametric and linear… (more)

Subjects/Keywords: additive semiparametric regression; Growth-aid-policy; Instrumental variables; Nadaraya-Watson kernel estimation; Square root n consistent estimation; Structural models; Applied Statistics; Econometrics; Economic Theory; Political Economy

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

APA (6th Edition):

Geng, X. (2015). Essays on Nonparametric Estimation of Partially Linear Models Under Endogeneity. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/econ_gradetds/54

Chicago Manual of Style (16th Edition):

Geng, Xin. “Essays on Nonparametric Estimation of Partially Linear Models Under Endogeneity.” 2015. Doctoral Dissertation, University of Colorado. Accessed October 23, 2019. http://scholar.colorado.edu/econ_gradetds/54.

MLA Handbook (7th Edition):

Geng, Xin. “Essays on Nonparametric Estimation of Partially Linear Models Under Endogeneity.” 2015. Web. 23 Oct 2019.

Vancouver:

Geng X. Essays on Nonparametric Estimation of Partially Linear Models Under Endogeneity. [Internet] [Doctoral dissertation]. University of Colorado; 2015. [cited 2019 Oct 23]. Available from: http://scholar.colorado.edu/econ_gradetds/54.

Council of Science Editors:

Geng X. Essays on Nonparametric Estimation of Partially Linear Models Under Endogeneity. [Doctoral Dissertation]. University of Colorado; 2015. Available from: http://scholar.colorado.edu/econ_gradetds/54


Virginia Tech

29. Pickle, Stephanie M. Semiparametric Techniques for Response Surface Methodology.

Degree: PhD, Statistics, 2006, Virginia Tech

 Many industrial statisticians employ the techniques of Response Surface Methodology (RSM) to study and optimize products and processes. A second-order Taylor series approximation is commonly… (more)

Subjects/Keywords: Genetic Algorithm; Response Surface Methodology; Semiparametric Regression; Robust Parameter Design

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

APA (6th Edition):

Pickle, S. M. (2006). Semiparametric Techniques for Response Surface Methodology. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28517

Chicago Manual of Style (16th Edition):

Pickle, Stephanie M. “Semiparametric Techniques for Response Surface Methodology.” 2006. Doctoral Dissertation, Virginia Tech. Accessed October 23, 2019. http://hdl.handle.net/10919/28517.

MLA Handbook (7th Edition):

Pickle, Stephanie M. “Semiparametric Techniques for Response Surface Methodology.” 2006. Web. 23 Oct 2019.

Vancouver:

Pickle SM. Semiparametric Techniques for Response Surface Methodology. [Internet] [Doctoral dissertation]. Virginia Tech; 2006. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10919/28517.

Council of Science Editors:

Pickle SM. Semiparametric Techniques for Response Surface Methodology. [Doctoral Dissertation]. Virginia Tech; 2006. Available from: http://hdl.handle.net/10919/28517


Virginia Tech

30. Mahmoud, Hamdy Fayez Farahat. Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data.

Degree: PhD, Statistics, 2014, Virginia Tech

Semiparametric modeling is a hybrid of the parametric and nonparametric modelings where some function forms are known and others are unknown. In this dissertation, we… (more)

Subjects/Keywords: Change Point; Generalized Linear Model; Generalized Additive Model; Markov Chain Expectation Maximization; Mixed model; Permutation Test; Semiparametric regression; Single Index model; Spatially correlated data; Spatio-temporal data.

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

APA (6th Edition):

Mahmoud, H. F. F. (2014). Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76744

Chicago Manual of Style (16th Edition):

Mahmoud, Hamdy Fayez Farahat. “Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data.” 2014. Doctoral Dissertation, Virginia Tech. Accessed October 23, 2019. http://hdl.handle.net/10919/76744.

MLA Handbook (7th Edition):

Mahmoud, Hamdy Fayez Farahat. “Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data.” 2014. Web. 23 Oct 2019.

Vancouver:

Mahmoud HFF. Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10919/76744.

Council of Science Editors:

Mahmoud HFF. Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/76744

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