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You searched for +publisher:"Texas A&M University" +contributor:("Carroll, Raymond J"). Showing records 1 – 30 of 48 total matches.

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Texas A&M University

1. Zhang, Nan. Adaptive Basis Sampling for Smoothing Splines.

Degree: 2015, Texas A&M University

 Smoothing splines provide flexible nonparametric regression estimators. Penalized likelihood method is adopted when responses are from exponential families and multivariate models are constructed with certain… (more)

Subjects/Keywords: Nonparametric regression; Penalized likelihood; Reproducing kernel Hilbert space

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

APA (6th Edition):

Zhang, N. (2015). Adaptive Basis Sampling for Smoothing Splines. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155626

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

Chicago Manual of Style (16th Edition):

Zhang, Nan. “Adaptive Basis Sampling for Smoothing Splines.” 2015. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/155626.

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

MLA Handbook (7th Edition):

Zhang, Nan. “Adaptive Basis Sampling for Smoothing Splines.” 2015. Web. 26 May 2019.

Vancouver:

Zhang N. Adaptive Basis Sampling for Smoothing Splines. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/155626.

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

Council of Science Editors:

Zhang N. Adaptive Basis Sampling for Smoothing Splines. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155626

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


Texas A&M University

2. 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 May 26, 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. 26 May 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 May 26]. 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


Texas A&M University

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

Degree: 2009, Texas A&M University

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

Subjects/Keywords: Functional Data Analysis; Nonparametric statistics

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Li, Yehua. “Topics in functional data analysis with biological applications.” 2009. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1867.

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

MLA Handbook (7th Edition):

Li, Yehua. “Topics in functional data analysis with biological applications.” 2009. Web. 26 May 2019.

Vancouver:

Li Y. Topics in functional data analysis with biological applications. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1867.

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

Council of Science Editors:

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

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


Texas A&M University

4. Li, Bo. An analysis of Texas rainfall data and asymptotic properties of space-time covariance estimators.

Degree: 2009, Texas A&M University

 This dissertation includes two parts. Part 1 develops a geostatistical method to calibrate Texas NexRad rainfall estimates using rain gauge measurements. Part 2 explores the… (more)

Subjects/Keywords: NexRad data; threshold; linear regression; variogram estimation; asymptotic normality; covariance; increasing domain asymptotics; random field

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APA (6th Edition):

Li, B. (2009). An analysis of Texas rainfall data and asymptotic properties of space-time covariance estimators. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1868

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

Chicago Manual of Style (16th Edition):

Li, Bo. “An analysis of Texas rainfall data and asymptotic properties of space-time covariance estimators.” 2009. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1868.

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

MLA Handbook (7th Edition):

Li, Bo. “An analysis of Texas rainfall data and asymptotic properties of space-time covariance estimators.” 2009. Web. 26 May 2019.

Vancouver:

Li B. An analysis of Texas rainfall data and asymptotic properties of space-time covariance estimators. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1868.

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

Council of Science Editors:

Li B. An analysis of Texas rainfall data and asymptotic properties of space-time covariance estimators. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1868

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


Texas A&M University

5. Xu, Ganggang. Variable Selection and Function Estimation Using Penalized Methods.

Degree: 2012, Texas A&M University

 Penalized methods are becoming more and more popular in statistical research. This dissertation research covers two major aspects of applications of penalized methods: variable selection… (more)

Subjects/Keywords: Adaptive lasso; Autoregressive model; Infinite variance; Least absolute deviation; Cross-validation, Generalized estimating equations, Multiple smoothing parameters, Penalized splines, Working covariance matrix.

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APA (6th Edition):

Xu, G. (2012). Variable Selection and Function Estimation Using Penalized Methods. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10451

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):

Xu, Ganggang. “Variable Selection and Function Estimation Using Penalized Methods.” 2012. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10451.

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

MLA Handbook (7th Edition):

Xu, Ganggang. “Variable Selection and Function Estimation Using Penalized Methods.” 2012. Web. 26 May 2019.

Vancouver:

Xu G. Variable Selection and Function Estimation Using Penalized Methods. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10451.

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

Council of Science Editors:

Xu G. Variable Selection and Function Estimation Using Penalized Methods. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10451

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


Texas A&M University

6. Xun, Xiaolei. Statistical Inference in Inverse Problems.

Degree: 2012, Texas A&M University

 Inverse problems have gained popularity in statistical research recently. This dissertation consists of two statistical inverse problems: a Bayesian approach to detection of small low… (more)

Subjects/Keywords: Inverse problems; Bayesian method; Source detection; Parameter estimation; Parameter cascading; Partial differential equations.

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

APA (6th Edition):

Xun, X. (2012). Statistical Inference in Inverse Problems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874

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):

Xun, Xiaolei. “Statistical Inference in Inverse Problems.” 2012. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874.

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

MLA Handbook (7th Edition):

Xun, Xiaolei. “Statistical Inference in Inverse Problems.” 2012. Web. 26 May 2019.

Vancouver:

Xun X. Statistical Inference in Inverse Problems. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874.

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

Council of Science Editors:

Xun X. Statistical Inference in Inverse Problems. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874

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


Texas A&M University

7. Zhang, Lin. Application of Bayesian Hierarchical Models in Genetic Data Analysis.

Degree: 2012, Texas A&M University

 Genetic data analysis has been capturing a lot of attentions for understanding the mechanism of the development and progressing of diseases like cancers, and is… (more)

Subjects/Keywords: covariance estimation; feature selection; graphical network modeling; genetic data analysis; Bayesian hierarchical model

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APA (6th Edition):

Zhang, L. (2012). Application of Bayesian Hierarchical Models in Genetic Data Analysis. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148056

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

Chicago Manual of Style (16th Edition):

Zhang, Lin. “Application of Bayesian Hierarchical Models in Genetic Data Analysis.” 2012. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/148056.

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

MLA Handbook (7th Edition):

Zhang, Lin. “Application of Bayesian Hierarchical Models in Genetic Data Analysis.” 2012. Web. 26 May 2019.

Vancouver:

Zhang L. Application of Bayesian Hierarchical Models in Genetic Data Analysis. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/148056.

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

Council of Science Editors:

Zhang L. Application of Bayesian Hierarchical Models in Genetic Data Analysis. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148056

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


Texas A&M University

8. Zhu, Xinxin. Wind Speed Forecasting for Power System Operation.

Degree: 2013, Texas A&M University

 In order to support large-scale integration of wind power into current electric energy system, accurate wind speed forecasting is essential, because the high variation and… (more)

Subjects/Keywords: Wind Forecasting; Space-Time

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APA (6th Edition):

Zhu, X. (2013). Wind Speed Forecasting for Power System Operation. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151248

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

Chicago Manual of Style (16th Edition):

Zhu, Xinxin. “Wind Speed Forecasting for Power System Operation.” 2013. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/151248.

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

MLA Handbook (7th Edition):

Zhu, Xinxin. “Wind Speed Forecasting for Power System Operation.” 2013. Web. 26 May 2019.

Vancouver:

Zhu X. Wind Speed Forecasting for Power System Operation. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/151248.

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

Council of Science Editors:

Zhu X. Wind Speed Forecasting for Power System Operation. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151248

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


Texas A&M University

9. Xu, Kun. Semiparametric Estimation and Inference with Mis-measured, Correlated or Mixed Observations, and the Application in Ecology, Medicine and Neurology.

Degree: 2013, Texas A&M University

 The dissertation considers semiparametric regression models inspired by statistical problems in ecological, medical and neurological studies. In those models, the interest is usually on the… (more)

Subjects/Keywords: Semiparamtric; Capture-recapture; Instrument variable; Huntington's Disease; Measurement error

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APA (6th Edition):

Xu, K. (2013). Semiparametric Estimation and Inference with Mis-measured, Correlated or Mixed Observations, and the Application in Ecology, Medicine and Neurology. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151746

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):

Xu, Kun. “Semiparametric Estimation and Inference with Mis-measured, Correlated or Mixed Observations, and the Application in Ecology, Medicine and Neurology.” 2013. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/151746.

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

MLA Handbook (7th Edition):

Xu, Kun. “Semiparametric Estimation and Inference with Mis-measured, Correlated or Mixed Observations, and the Application in Ecology, Medicine and Neurology.” 2013. Web. 26 May 2019.

Vancouver:

Xu K. Semiparametric Estimation and Inference with Mis-measured, Correlated or Mixed Observations, and the Application in Ecology, Medicine and Neurology. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/151746.

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

Council of Science Editors:

Xu K. Semiparametric Estimation and Inference with Mis-measured, Correlated or Mixed Observations, and the Application in Ecology, Medicine and Neurology. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151746

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


Texas A&M University

10. Rahman, Shahina. Efficient Nonparametric and Semiparametric Regression Methods with application in Case-Control Studies.

Degree: 2015, Texas A&M University

 Regression Analysis is one of the most important tools of statistics which is widely used in other scientific fields for projection and modeling of association… (more)

Subjects/Keywords: Bayesian Methods; Case-control; Dirichlet Process of Mixture Model; Efficiency; Heteroscedasticity; Kernel estimation; Nonparametric; P-splines; Robust; Secondary Analysis; Semiparametric; Single-Index Model

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APA (6th Edition):

Rahman, S. (2015). Efficient Nonparametric and Semiparametric Regression Methods with application in Case-Control Studies. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155719

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):

Rahman, Shahina. “Efficient Nonparametric and Semiparametric Regression Methods with application in Case-Control Studies.” 2015. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/155719.

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

MLA Handbook (7th Edition):

Rahman, Shahina. “Efficient Nonparametric and Semiparametric Regression Methods with application in Case-Control Studies.” 2015. Web. 26 May 2019.

Vancouver:

Rahman S. Efficient Nonparametric and Semiparametric Regression Methods with application in Case-Control Studies. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/155719.

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

Council of Science Editors:

Rahman S. Efficient Nonparametric and Semiparametric Regression Methods with application in Case-Control Studies. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155719

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


Texas A&M University

11. Wei, Rubin. Highly Nonlinear Measurement Error Models in Nutritional Epidemiology.

Degree: 2014, Texas A&M University

 This dissertation consists of two main projects in the area of measurement error models with application in nutritional epidemiology. The first project studies the application… (more)

Subjects/Keywords: Measurement error; Berkson-type error; Latent variable models; Moment reconstruction; Bayesian methods; Hard zeroes; Zero-inflation; Mixed models; Nutritional epidemiology; Usual intake; Never-consumers

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APA (6th Edition):

Wei, R. (2014). Highly Nonlinear Measurement Error Models in Nutritional Epidemiology. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161236

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, Rubin. “Highly Nonlinear Measurement Error Models in Nutritional Epidemiology.” 2014. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/161236.

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

MLA Handbook (7th Edition):

Wei, Rubin. “Highly Nonlinear Measurement Error Models in Nutritional Epidemiology.” 2014. Web. 26 May 2019.

Vancouver:

Wei R. Highly Nonlinear Measurement Error Models in Nutritional Epidemiology. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/161236.

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

Council of Science Editors:

Wei R. Highly Nonlinear Measurement Error Models in Nutritional Epidemiology. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/161236

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


Texas A&M University

12. Cao, Xiaojuan. Effect of consuming ground beef of differing monounsaturated fatty acid content on atherosclerotic cardiovascular disease risk factors in healthy men.

Degree: 2009, Texas A&M University

 Atherosclerotic cardiovascular disease (ASCVD) is currently the most common cause of death in the United States. Some dietary factors contribute importantly to ASCVD and other… (more)

Subjects/Keywords: MUFA; ground beef; insulin resistance; homocysteine; CRP; paraoxonase.

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APA (6th Edition):

Cao, X. (2009). Effect of consuming ground beef of differing monounsaturated fatty acid content on atherosclerotic cardiovascular disease risk factors in healthy men. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-3211

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):

Cao, Xiaojuan. “Effect of consuming ground beef of differing monounsaturated fatty acid content on atherosclerotic cardiovascular disease risk factors in healthy men.” 2009. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-3211.

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

MLA Handbook (7th Edition):

Cao, Xiaojuan. “Effect of consuming ground beef of differing monounsaturated fatty acid content on atherosclerotic cardiovascular disease risk factors in healthy men.” 2009. Web. 26 May 2019.

Vancouver:

Cao X. Effect of consuming ground beef of differing monounsaturated fatty acid content on atherosclerotic cardiovascular disease risk factors in healthy men. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3211.

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

Council of Science Editors:

Cao X. Effect of consuming ground beef of differing monounsaturated fatty acid content on atherosclerotic cardiovascular disease risk factors in healthy men. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3211

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


Texas A&M University

13. George, Nysia I. Mixture Modeling and Outlier Detection in Microarray Data Analysis.

Degree: 2010, Texas A&M University

 Microarray technology has become a dynamic tool in gene expression analysis because it allows for the simultaneous measurement of thousands of gene expressions. Uniqueness in… (more)

Subjects/Keywords: gene expression data; ICC; colon cancer; non-invasive screening; mixture-modeling; outlier detection; shrinkage variance estimator; variance microarray

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APA (6th Edition):

George, N. I. (2010). Mixture Modeling and Outlier Detection in Microarray Data Analysis. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2008-08-45

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):

George, Nysia I. “Mixture Modeling and Outlier Detection in Microarray Data Analysis.” 2010. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2008-08-45.

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

MLA Handbook (7th Edition):

George, Nysia I. “Mixture Modeling and Outlier Detection in Microarray Data Analysis.” 2010. Web. 26 May 2019.

Vancouver:

George NI. Mixture Modeling and Outlier Detection in Microarray Data Analysis. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2008-08-45.

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

Council of Science Editors:

George NI. Mixture Modeling and Outlier Detection in Microarray Data Analysis. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2008-08-45

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


Texas A&M University

14. Lee, Seokho. Principal Components Analysis for Binary Data.

Degree: 2010, Texas A&M University

 Principal components analysis (PCA) has been widely used as a statistical tool for the dimension reduction of multivariate data in various application areas and extensively… (more)

Subjects/Keywords: BINARY DATA; DIMENSION REDUCTION; MM ALGORITHM; LASSO; PCA; REGULARIZATION; SPARSITY; VARIATIONAL METHOD

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APA (6th Edition):

Lee, S. (2010). Principal Components Analysis for Binary Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-602

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, Seokho. “Principal Components Analysis for Binary Data.” 2010. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-602.

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

MLA Handbook (7th Edition):

Lee, Seokho. “Principal Components Analysis for Binary Data.” 2010. Web. 26 May 2019.

Vancouver:

Lee S. Principal Components Analysis for Binary Data. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-602.

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. Principal Components Analysis for Binary Data. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-602

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


Texas A&M University

15. Redd, Andrew Middleton. An Additive Bivariate Hierarchical Model for Functional Data and Related Computations.

Degree: 2011, Texas A&M University

 The work presented in this dissertation centers on the theme of regression and computation methodology. Functional data is an important class of longitudinal data, and… (more)

Subjects/Keywords: Additive Models; Functional Data; Mixed Models; Nonparametric Regression; O-splines; Smoothing Parameter Estimation; Splines; Software Packages

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APA (6th Edition):

Redd, A. M. (2011). An Additive Bivariate Hierarchical Model for Functional Data and Related Computations. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8290

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):

Redd, Andrew Middleton. “An Additive Bivariate Hierarchical Model for Functional Data and Related Computations.” 2011. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8290.

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

MLA Handbook (7th Edition):

Redd, Andrew Middleton. “An Additive Bivariate Hierarchical Model for Functional Data and Related Computations.” 2011. Web. 26 May 2019.

Vancouver:

Redd AM. An Additive Bivariate Hierarchical Model for Functional Data and Related Computations. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8290.

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

Council of Science Editors:

Redd AM. An Additive Bivariate Hierarchical Model for Functional Data and Related Computations. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8290

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


Texas A&M University

16. Cho, Young Mi. Colon Cancer Chemoprotection through Epigenetic Effects of a Fish Oil/Pectin Diet.

Degree: 2012, Texas A&M University

 Accumulated genetic and epigenetic abnormalities contribute to the development of colon cancer. We have shown that a combination of fish oil (containing decosahexaenoic acid, DHA,… (more)

Subjects/Keywords: Fish oil; Pectin; Colon cancer; Epigenetics; DNA methylation; Chemoprotection; Apoptosis

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APA (6th Edition):

Cho, Y. M. (2012). Colon Cancer Chemoprotection through Epigenetic Effects of a Fish Oil/Pectin Diet. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11480

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):

Cho, Young Mi. “Colon Cancer Chemoprotection through Epigenetic Effects of a Fish Oil/Pectin Diet.” 2012. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11480.

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

MLA Handbook (7th Edition):

Cho, Young Mi. “Colon Cancer Chemoprotection through Epigenetic Effects of a Fish Oil/Pectin Diet.” 2012. Web. 26 May 2019.

Vancouver:

Cho YM. Colon Cancer Chemoprotection through Epigenetic Effects of a Fish Oil/Pectin Diet. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11480.

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

Council of Science Editors:

Cho YM. Colon Cancer Chemoprotection through Epigenetic Effects of a Fish Oil/Pectin Diet. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11480

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


Texas A&M University

17. Gautam, Raju. Epidemiology of Bacterial Food-borne Pathogens: Linking Intermittent Pathogen Shedding and Transmission in Their Animal Hosts.

Degree: 2013, Texas A&M University

 Most bacterial foodborne pathogens are shed intermittently from their animal hosts and are able to grow and persist in the environment. Cattle and pigs constitute… (more)

Subjects/Keywords: Intermittent shedding; environmental persistence; Escherichia coli O157:H7; Salmonella Typhimurium

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APA (6th Edition):

Gautam, R. (2013). Epidemiology of Bacterial Food-borne Pathogens: Linking Intermittent Pathogen Shedding and Transmission in Their Animal Hosts. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149510

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):

Gautam, Raju. “Epidemiology of Bacterial Food-borne Pathogens: Linking Intermittent Pathogen Shedding and Transmission in Their Animal Hosts.” 2013. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/149510.

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

MLA Handbook (7th Edition):

Gautam, Raju. “Epidemiology of Bacterial Food-borne Pathogens: Linking Intermittent Pathogen Shedding and Transmission in Their Animal Hosts.” 2013. Web. 26 May 2019.

Vancouver:

Gautam R. Epidemiology of Bacterial Food-borne Pathogens: Linking Intermittent Pathogen Shedding and Transmission in Their Animal Hosts. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/149510.

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

Council of Science Editors:

Gautam R. Epidemiology of Bacterial Food-borne Pathogens: Linking Intermittent Pathogen Shedding and Transmission in Their Animal Hosts. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149510

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


Texas A&M University

18. Sun, Ranye. Thresholding Multivariate Regression and Generalized Principal Components.

Degree: 2014, Texas A&M University

 As high-dimensional data arises from various fields in science and technology, traditional multivariate methods need to be updated. Principal component analysis and reduced rank regression… (more)

Subjects/Keywords: cross-validation; iterative subspace projections; low-rank matrix approximation; regularization; transposable data.

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APA (6th Edition):

Sun, R. (2014). Thresholding Multivariate Regression and Generalized Principal Components. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152564

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):

Sun, Ranye. “Thresholding Multivariate Regression and Generalized Principal Components.” 2014. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/152564.

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

MLA Handbook (7th Edition):

Sun, Ranye. “Thresholding Multivariate Regression and Generalized Principal Components.” 2014. Web. 26 May 2019.

Vancouver:

Sun R. Thresholding Multivariate Regression and Generalized Principal Components. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/152564.

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

Council of Science Editors:

Sun R. Thresholding Multivariate Regression and Generalized Principal Components. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152564

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


Texas A&M University

19. Sarkar, Abhra. Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors.

Degree: 2014, Texas A&M University

 Although the literature on measurement error problems is quite extensive, solutions to even the most fundamental measurement error problems like density deconvolution and regression with… (more)

Subjects/Keywords: B-splines; Conditional heteroscedasticity; Density deconvolution; Dirichlet process; Latent factor analyzers; Measurement errors; Mixture models; Nutritional epidemiology; Regression with errors in covariates; Sparsity inducing priors

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APA (6th Edition):

Sarkar, A. (2014). Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153327

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):

Sarkar, Abhra. “Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors.” 2014. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/153327.

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

MLA Handbook (7th Edition):

Sarkar, Abhra. “Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors.” 2014. Web. 26 May 2019.

Vancouver:

Sarkar A. Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/153327.

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

Council of Science Editors:

Sarkar A. Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153327

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


Texas A&M University

20. Chown, Justin Andrew. New Approaches in Testing Common Assumptions for Regressions with Missing Data.

Degree: 2014, Texas A&M University

 We consider both nonparametric regression and heteroskedastic nonparametric regression models with multivariate covariates and with responses missing at random. The regression function is estimated using… (more)

Subjects/Keywords: nonparametric; regression; empirical distribution function; test for normality; transfer principle; efficient estimator; goodness-of-fit test; heteroskedasticity; weighted empirical process; test for heteroskedasticity; distribution free; martingale transform; residual-based; Brownian motion; Brownian bridge

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APA (6th Edition):

Chown, J. A. (2014). New Approaches in Testing Common Assumptions for Regressions with Missing Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153510

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):

Chown, Justin Andrew. “New Approaches in Testing Common Assumptions for Regressions with Missing Data.” 2014. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/153510.

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

MLA Handbook (7th Edition):

Chown, Justin Andrew. “New Approaches in Testing Common Assumptions for Regressions with Missing Data.” 2014. Web. 26 May 2019.

Vancouver:

Chown JA. New Approaches in Testing Common Assumptions for Regressions with Missing Data. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/153510.

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

Council of Science Editors:

Chown JA. New Approaches in Testing Common Assumptions for Regressions with Missing Data. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153510

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


Texas A&M University

21. McGuffey, Elizabeth Jennings. Statistical Methods for Integrating Genomics Data.

Degree: 2015, Texas A&M University

 This dissertation focuses on methodology to integrate multiplatform genomic data with cancer applications. Such integration facilitates the discovery of biological information crucial to the development… (more)

Subjects/Keywords: Bayesian modeling; Genomics; Heatmaps; Hierarchical models; Integrative analysis; Shrinkage priors; TCGA

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APA (6th Edition):

McGuffey, E. J. (2015). Statistical Methods for Integrating Genomics Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155093

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):

McGuffey, Elizabeth Jennings. “Statistical Methods for Integrating Genomics Data.” 2015. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/155093.

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

MLA Handbook (7th Edition):

McGuffey, Elizabeth Jennings. “Statistical Methods for Integrating Genomics Data.” 2015. Web. 26 May 2019.

Vancouver:

McGuffey EJ. Statistical Methods for Integrating Genomics Data. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/155093.

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

Council of Science Editors:

McGuffey EJ. Statistical Methods for Integrating Genomics Data. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155093

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


Texas A&M University

22. Goddard, Scott D. Restricted Most Powerful Bayesian Tests.

Degree: 2015, Texas A&M University

 Uniformly most powerful Bayesian tests (UMPBTs) are defined to be Bayesian tests that maximize the probability that the Bayes factor against a fixed null hypothesis… (more)

Subjects/Keywords: Hypothesis tests; g prior; UMPBT; Bayesian variable selection

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APA (6th Edition):

Goddard, S. D. (2015). Restricted Most Powerful Bayesian Tests. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155108

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):

Goddard, Scott D. “Restricted Most Powerful Bayesian Tests.” 2015. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/155108.

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

MLA Handbook (7th Edition):

Goddard, Scott D. “Restricted Most Powerful Bayesian Tests.” 2015. Web. 26 May 2019.

Vancouver:

Goddard SD. Restricted Most Powerful Bayesian Tests. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/155108.

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

Council of Science Editors:

Goddard SD. Restricted Most Powerful Bayesian Tests. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155108

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


Texas A&M University

23. 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 May 26, 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. 26 May 2019.

Vancouver:

Maity A. Efficient inference in general semiparametric regression models. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 May 26]. 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

24. Zhong, Ming. Extended Homozygosity Score Tests to Detect Positive Selection in Genome-wide Scans.

Degree: 2011, Texas A&M University

 Positive natural selection is recognized as the driving force underneath evolution. One of the surest signatures of recent positive selection is a local elevation of… (more)

Subjects/Keywords: Extended homozygosity; linkage disequilibrium; positive selection.

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APA (6th Edition):

Zhong, M. (2011). Extended Homozygosity Score Tests to Detect Positive Selection in Genome-wide Scans. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7687

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):

Zhong, Ming. “Extended Homozygosity Score Tests to Detect Positive Selection in Genome-wide Scans.” 2011. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7687.

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

MLA Handbook (7th Edition):

Zhong, Ming. “Extended Homozygosity Score Tests to Detect Positive Selection in Genome-wide Scans.” 2011. Web. 26 May 2019.

Vancouver:

Zhong M. Extended Homozygosity Score Tests to Detect Positive Selection in Genome-wide Scans. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7687.

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

Council of Science Editors:

Zhong M. Extended Homozygosity Score Tests to Detect Positive Selection in Genome-wide Scans. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7687

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

25. Singh, Trijya. Efficient Small Area Estimation in the Presence of Measurement Error in Covariates.

Degree: 2012, Texas A&M University

 Small area estimation is an arena that has seen rapid development in the past 50 years, due to its widespread applicability in government projects, marketing… (more)

Subjects/Keywords: Covariates; Measurement Error; SIMEX; Small Area Estimation; Corrected Scores

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APA (6th Edition):

Singh, T. (2012). Efficient Small Area Estimation in the Presence of Measurement Error in Covariates. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-10010

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):

Singh, Trijya. “Efficient Small Area Estimation in the Presence of Measurement Error in Covariates.” 2012. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-10010.

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

MLA Handbook (7th Edition):

Singh, Trijya. “Efficient Small Area Estimation in the Presence of Measurement Error in Covariates.” 2012. Web. 26 May 2019.

Vancouver:

Singh T. Efficient Small Area Estimation in the Presence of Measurement Error in Covariates. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-10010.

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

Council of Science Editors:

Singh T. Efficient Small Area Estimation in the Presence of Measurement Error in Covariates. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-10010

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

26. Garcia, Tanya. Efficient Semiparametric Estimators for Biological, Genetic, and Measurement Error Applications.

Degree: 2012, Texas A&M University

 Many statistical models, like measurement error models, a general class of survival models, and a mixture data model with random censoring, are semiparametric where interest… (more)

Subjects/Keywords: Measurement Error; Mixture data; Nonproportional hazards model; Semiparametric Methods

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APA (6th Edition):

Garcia, T. (2012). Efficient Semiparametric Estimators for Biological, Genetic, and Measurement Error Applications. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9700

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):

Garcia, Tanya. “Efficient Semiparametric Estimators for Biological, Genetic, and Measurement Error Applications.” 2012. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9700.

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

MLA Handbook (7th Edition):

Garcia, Tanya. “Efficient Semiparametric Estimators for Biological, Genetic, and Measurement Error Applications.” 2012. Web. 26 May 2019.

Vancouver:

Garcia T. Efficient Semiparametric Estimators for Biological, Genetic, and Measurement Error Applications. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9700.

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

Council of Science Editors:

Garcia T. Efficient Semiparametric Estimators for Biological, Genetic, and Measurement Error Applications. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9700

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

27. Ryu, Duchwan. Regression analysis with longitudinal measurements.

Degree: 2005, Texas A&M University

 Bayesian approaches to the regression analysis for longitudinal measurements are considered. The history of measurements from a subject may convey characteristics of the subject. Hence,… (more)

Subjects/Keywords: Bayesian Smoothing Spline; Generalized Additive Model; Measurement Error; Outcome-Dependent Follow-Up; Conditional Predictive Ordinate

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APA (6th Edition):

Ryu, D. (2005). Regression analysis with longitudinal measurements. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/2398

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):

Ryu, Duchwan. “Regression analysis with longitudinal measurements.” 2005. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/2398.

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

MLA Handbook (7th Edition):

Ryu, Duchwan. “Regression analysis with longitudinal measurements.” 2005. Web. 26 May 2019.

Vancouver:

Ryu D. Regression analysis with longitudinal measurements. [Internet] [Thesis]. Texas A&M University; 2005. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/2398.

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

Council of Science Editors:

Ryu D. Regression analysis with longitudinal measurements. [Thesis]. Texas A&M University; 2005. Available from: http://hdl.handle.net/1969.1/2398

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

28. Bandyopadhyay, Soutir. On Parametric and Nonparametric Methods for Dependent Data.

Degree: 2011, Texas A&M University

 In recent years, there has been a surge of research interest in the analysis of time series and spatial data. While on one hand more… (more)

Subjects/Keywords: Bootstrap; Mean squared prediction error; second order bias correction; tilting; Asymptotic independence; Central limit theorem; DFT; Random field; Spatial processes; Spatial design.

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APA (6th Edition):

Bandyopadhyay, S. (2011). On Parametric and Nonparametric Methods for Dependent Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8277

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):

Bandyopadhyay, Soutir. “On Parametric and Nonparametric Methods for Dependent Data.” 2011. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8277.

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

MLA Handbook (7th Edition):

Bandyopadhyay, Soutir. “On Parametric and Nonparametric Methods for Dependent Data.” 2011. Web. 26 May 2019.

Vancouver:

Bandyopadhyay S. On Parametric and Nonparametric Methods for Dependent Data. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8277.

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

Council of Science Editors:

Bandyopadhyay S. On Parametric and Nonparametric Methods for Dependent Data. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8277

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

29. Lennox, Kristin Patricia. Bayesian Nonparametric Methods for Protein Structure Prediction.

Degree: 2011, Texas A&M University

 The protein structure prediction problem consists of determining a protein?s three-dimensional structure from the underlying sequence of amino acids. A standard approach for predicting such… (more)

Subjects/Keywords: Bayesian statistics; Nonparametric statistics; Density esitimation; Angular data

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

APA (6th Edition):

Lennox, K. P. (2011). Bayesian Nonparametric Methods for Protein Structure Prediction. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8226

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):

Lennox, Kristin Patricia. “Bayesian Nonparametric Methods for Protein Structure Prediction.” 2011. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8226.

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

MLA Handbook (7th Edition):

Lennox, Kristin Patricia. “Bayesian Nonparametric Methods for Protein Structure Prediction.” 2011. Web. 26 May 2019.

Vancouver:

Lennox KP. Bayesian Nonparametric Methods for Protein Structure Prediction. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8226.

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

Council of Science Editors:

Lennox KP. Bayesian Nonparametric Methods for Protein Structure Prediction. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8226

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

30. Marchenko, Yulia V. Multivariate Skew-t Distributions in Econometrics and Environmetrics.

Degree: 2012, Texas A&M University

 This dissertation is composed of three articles describing novel approaches for analysis and modeling using multivariate skew-normal and skew-t distributions in econometrics and environmetrics. In… (more)

Subjects/Keywords: skewness; heavy tails; sample selection; nonrandom sampling; robustness; software; skew-normal; skew-t; skew-elliptical; log-skew-normal; log-skew-t; log-skew-elliptical; Heckman model; selection-t model; Stata; precipitation; ambulatory expenditures; extended skew-normal; extended skew-t; extended skew-elliptical

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APA (6th Edition):

Marchenko, Y. V. (2012). Multivariate Skew-t Distributions in Econometrics and Environmetrics. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8764

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):

Marchenko, Yulia V. “Multivariate Skew-t Distributions in Econometrics and Environmetrics.” 2012. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8764.

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

MLA Handbook (7th Edition):

Marchenko, Yulia V. “Multivariate Skew-t Distributions in Econometrics and Environmetrics.” 2012. Web. 26 May 2019.

Vancouver:

Marchenko YV. Multivariate Skew-t Distributions in Econometrics and Environmetrics. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8764.

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

Council of Science Editors:

Marchenko YV. Multivariate Skew-t Distributions in Econometrics and Environmetrics. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8764

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

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