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You searched for +publisher:"Texas A&M University" +contributor:("Wang, Suojin"). Showing records 1 – 30 of 32 total matches.

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Texas A&M University

1. Larsen, Ross Allen Andrew. Second Level Cluster Dependencies: A Comparison of Modeling Software and Missing Data Techniques.

Degree: PhD, Educational Psychology, 2011, Texas A&M University

 Dependencies in multilevel models at the second level have never been thoroughly examined. For certain designs first-level subjects are independent over time, but the second… (more)

Subjects/Keywords: Simulation; Structural Equation Modeling; Software; Missing Data; Full Information Maximum Likelihood; Multiple Imputations

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APA (6th Edition):

Larsen, R. A. A. (2011). Second Level Cluster Dependencies: A Comparison of Modeling Software and Missing Data Techniques. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8289

Chicago Manual of Style (16th Edition):

Larsen, Ross Allen Andrew. “Second Level Cluster Dependencies: A Comparison of Modeling Software and Missing Data Techniques.” 2011. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8289.

MLA Handbook (7th Edition):

Larsen, Ross Allen Andrew. “Second Level Cluster Dependencies: A Comparison of Modeling Software and Missing Data Techniques.” 2011. Web. 20 Oct 2020.

Vancouver:

Larsen RAA. Second Level Cluster Dependencies: A Comparison of Modeling Software and Missing Data Techniques. [Internet] [Doctoral dissertation]. Texas A&M University; 2011. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8289.

Council of Science Editors:

Larsen RAA. Second Level Cluster Dependencies: A Comparison of Modeling Software and Missing Data Techniques. [Doctoral Dissertation]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8289


Texas A&M University

2. El-Saleh, Ilham Kamel. Teachers' Concerns Regarding the Adoption of the New Mathematics Textbook.

Degree: PhD, Curriculum and Instruction, 2011, Texas A&M University

 The goal of this study is to identify and examine teachers' concerns regarding their use of the new adopted mathematics textbook. In Texas, middle school… (more)

Subjects/Keywords: Mathematics; curriculum materials; textbook adoption

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APA (6th Edition):

El-Saleh, I. K. (2011). Teachers' Concerns Regarding the Adoption of the New Mathematics Textbook. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9752

Chicago Manual of Style (16th Edition):

El-Saleh, Ilham Kamel. “Teachers' Concerns Regarding the Adoption of the New Mathematics Textbook.” 2011. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9752.

MLA Handbook (7th Edition):

El-Saleh, Ilham Kamel. “Teachers' Concerns Regarding the Adoption of the New Mathematics Textbook.” 2011. Web. 20 Oct 2020.

Vancouver:

El-Saleh IK. Teachers' Concerns Regarding the Adoption of the New Mathematics Textbook. [Internet] [Doctoral dissertation]. Texas A&M University; 2011. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9752.

Council of Science Editors:

El-Saleh IK. Teachers' Concerns Regarding the Adoption of the New Mathematics Textbook. [Doctoral Dissertation]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9752


Texas A&M University

3. Cai, Quan. Topics in Partially Linear Single-Index Models for Longitudinal Data.

Degree: PhD, Statistics, 2017, Texas A&M University

 The partially linear single-index model is a semiparametric model proposed to the case when some predictors are linearly associated with the response variable, while some… (more)

Subjects/Keywords: Partially linear single-index model; Semiparametric Efficiency; Longitudinal data; kernel method; generalized estimating equation

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APA (6th Edition):

Cai, Q. (2017). Topics in Partially Linear Single-Index Models for Longitudinal Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/187205

Chicago Manual of Style (16th Edition):

Cai, Quan. “Topics in Partially Linear Single-Index Models for Longitudinal Data.” 2017. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/187205.

MLA Handbook (7th Edition):

Cai, Quan. “Topics in Partially Linear Single-Index Models for Longitudinal Data.” 2017. Web. 20 Oct 2020.

Vancouver:

Cai Q. Topics in Partially Linear Single-Index Models for Longitudinal Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/187205.

Council of Science Editors:

Cai Q. Topics in Partially Linear Single-Index Models for Longitudinal Data. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/187205


Texas A&M University

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

Degree: PhD, Statistics, 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. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10451

Chicago Manual of Style (16th Edition):

Xu, Ganggang. “Variable Selection and Function Estimation Using Penalized Methods.” 2012. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10451.

MLA Handbook (7th Edition):

Xu, Ganggang. “Variable Selection and Function Estimation Using Penalized Methods.” 2012. Web. 20 Oct 2020.

Vancouver:

Xu G. Variable Selection and Function Estimation Using Penalized Methods. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10451.

Council of Science Editors:

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


Texas A&M University

5. Miao, Jingang. New Advances in Logistic Regression for Handling Missing and Mismeasured Data with Applications in Biostatistics.

Degree: PhD, Statistics, 2014, Texas A&M University

 As a probabilistic statistical classification model, logistic regression (or logit regression) is widely used to model the outcome of a categorical dependent variable based on… (more)

Subjects/Keywords: Logistic regression; Measurement error; Disease classification

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APA (6th Edition):

Miao, J. (2014). New Advances in Logistic Regression for Handling Missing and Mismeasured Data with Applications in Biostatistics. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153244

Chicago Manual of Style (16th Edition):

Miao, Jingang. “New Advances in Logistic Regression for Handling Missing and Mismeasured Data with Applications in Biostatistics.” 2014. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/153244.

MLA Handbook (7th Edition):

Miao, Jingang. “New Advances in Logistic Regression for Handling Missing and Mismeasured Data with Applications in Biostatistics.” 2014. Web. 20 Oct 2020.

Vancouver:

Miao J. New Advances in Logistic Regression for Handling Missing and Mismeasured Data with Applications in Biostatistics. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/153244.

Council of Science Editors:

Miao J. New Advances in Logistic Regression for Handling Missing and Mismeasured Data with Applications in Biostatistics. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153244


Texas A&M University

6. Mandal, Soutrik. Analysis and Goodness-of-Fit Tests for Time-to-Event Models.

Degree: PhD, Statistics, 2018, Texas A&M University

 The Cox proportional hazards model and the proportional odds model are some of the popular survival models often chosen to analyze censored time-to-event data. The… (more)

Subjects/Keywords: interval censoring; linear transformation models; multiple imputation; semiparametric methods; martingale; goodness-of-fit tests

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APA (6th Edition):

Mandal, S. (2018). Analysis and Goodness-of-Fit Tests for Time-to-Event Models. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174133

Chicago Manual of Style (16th Edition):

Mandal, Soutrik. “Analysis and Goodness-of-Fit Tests for Time-to-Event Models.” 2018. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/174133.

MLA Handbook (7th Edition):

Mandal, Soutrik. “Analysis and Goodness-of-Fit Tests for Time-to-Event Models.” 2018. Web. 20 Oct 2020.

Vancouver:

Mandal S. Analysis and Goodness-of-Fit Tests for Time-to-Event Models. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/174133.

Council of Science Editors:

Mandal S. Analysis and Goodness-of-Fit Tests for Time-to-Event Models. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174133


Texas A&M University

7. Sun, Zhuoer. Topics in Semiparametric Regression Estimation with Missing Covariates Using Single-Index Models.

Degree: PhD, Statistics, 2018, Texas A&M University

 Missing data are very common in many areas such as sociology, biomedical sciences and clinical trials. Simply ignoring the incomplete cases may cause bias in… (more)

Subjects/Keywords: Missing data; Longitudinal data; Generalized estimating equation; Single-index model; Kernel estimation

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APA (6th Edition):

Sun, Z. (2018). Topics in Semiparametric Regression Estimation with Missing Covariates Using Single-Index Models. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173893

Chicago Manual of Style (16th Edition):

Sun, Zhuoer. “Topics in Semiparametric Regression Estimation with Missing Covariates Using Single-Index Models.” 2018. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/173893.

MLA Handbook (7th Edition):

Sun, Zhuoer. “Topics in Semiparametric Regression Estimation with Missing Covariates Using Single-Index Models.” 2018. Web. 20 Oct 2020.

Vancouver:

Sun Z. Topics in Semiparametric Regression Estimation with Missing Covariates Using Single-Index Models. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/173893.

Council of Science Editors:

Sun Z. Topics in Semiparametric Regression Estimation with Missing Covariates Using Single-Index Models. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173893


Texas A&M University

8. Wang, Tianying. Topics in Measurement Error Analysis and High-Dimensional Binary Classification.

Degree: PhD, Statistics, 2018, Texas A&M University

 We propose novel methods to tackle two problems: the misspecified model with measurement error and high-dimensional binary classification, both have a crucial impact on applications… (more)

Subjects/Keywords: categorization; differential misclassification; epidemiology practice; Inverse problems; measurement error; convex optimization; discriminant analysis; high-dimensional statistics; variable selection

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APA (6th Edition):

Wang, T. (2018). Topics in Measurement Error Analysis and High-Dimensional Binary Classification. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173923

Chicago Manual of Style (16th Edition):

Wang, Tianying. “Topics in Measurement Error Analysis and High-Dimensional Binary Classification.” 2018. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/173923.

MLA Handbook (7th Edition):

Wang, Tianying. “Topics in Measurement Error Analysis and High-Dimensional Binary Classification.” 2018. Web. 20 Oct 2020.

Vancouver:

Wang T. Topics in Measurement Error Analysis and High-Dimensional Binary Classification. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/173923.

Council of Science Editors:

Wang T. Topics in Measurement Error Analysis and High-Dimensional Binary Classification. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173923


Texas A&M University

9. Lusher II, John David. High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data.

Degree: PhD, Electrical Engineering, 2018, Texas A&M University

 Brain connectivity networks help physicians better understand the neurological effects of certain diseases and make improved treatment options for patients. Voxel-to-Voxel Correlation Analysis (VVCA) of… (more)

Subjects/Keywords: Brain Functional Connectivity; fMRI; Seed-based Correlation Analysis; FPGA-based Parallel Computing; Human Connectome Project

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APA (6th Edition):

Lusher II, J. D. (2018). High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173710

Chicago Manual of Style (16th Edition):

Lusher II, John David. “High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data.” 2018. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/173710.

MLA Handbook (7th Edition):

Lusher II, John David. “High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data.” 2018. Web. 20 Oct 2020.

Vancouver:

Lusher II JD. High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/173710.

Council of Science Editors:

Lusher II JD. High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173710


Texas A&M University

10. Lu, Wenhua. Examining the Influence of Psychological Characteristics on Children’s Active Commuting to School using Theoretical Perspectives.

Degree: PhD, Health Education, 2014, Texas A&M University

 Previous research on children’s active commuting to school (ACS) focused mainly on physical and social environmental predictors of the behavior, leaving psychological factors under studied.… (more)

Subjects/Keywords: Active commuting to school; theory

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APA (6th Edition):

Lu, W. (2014). Examining the Influence of Psychological Characteristics on Children’s Active Commuting to School using Theoretical Perspectives. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153243

Chicago Manual of Style (16th Edition):

Lu, Wenhua. “Examining the Influence of Psychological Characteristics on Children’s Active Commuting to School using Theoretical Perspectives.” 2014. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/153243.

MLA Handbook (7th Edition):

Lu, Wenhua. “Examining the Influence of Psychological Characteristics on Children’s Active Commuting to School using Theoretical Perspectives.” 2014. Web. 20 Oct 2020.

Vancouver:

Lu W. Examining the Influence of Psychological Characteristics on Children’s Active Commuting to School using Theoretical Perspectives. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/153243.

Council of Science Editors:

Lu W. Examining the Influence of Psychological Characteristics on Children’s Active Commuting to School using Theoretical Perspectives. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153243


Texas A&M University

11. Serrano, Katrina 1983-. Investigating Childhood Overweight and Obesity in Rural Settings.

Degree: PhD, Health Education, 2012, Texas A&M University

 Children’s risk for overweight and obesity is particularly high in rural areas of the United States. Many health, psychosocial, and economic consequences are associated with… (more)

Subjects/Keywords: Multilevel analysis; Meta-analysis of interventions; Systematic literature review; Social ecological influences; Childhood overweight and obesity

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APA (6th Edition):

Serrano, K. 1. (2012). Investigating Childhood Overweight and Obesity in Rural Settings. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148286

Chicago Manual of Style (16th Edition):

Serrano, Katrina 1983-. “Investigating Childhood Overweight and Obesity in Rural Settings.” 2012. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/148286.

MLA Handbook (7th Edition):

Serrano, Katrina 1983-. “Investigating Childhood Overweight and Obesity in Rural Settings.” 2012. Web. 20 Oct 2020.

Vancouver:

Serrano K1. Investigating Childhood Overweight and Obesity in Rural Settings. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/148286.

Council of Science Editors:

Serrano K1. Investigating Childhood Overweight and Obesity in Rural Settings. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148286


Texas A&M University

12. Jann, Dominic 1983-. Bayesian Logistic Regression with Jaro-Winkler String Comparator Scores Provides Sizable Improvement in Probabilistic Record Matching.

Degree: PhD, Statistics, 2012, Texas A&M University

 Record matching is a fundamental and ubiquitous part of today?s society. Anything from typing in a password in order to access your email to connecting… (more)

Subjects/Keywords: Baysian Methodology; Logistic Regresion; Record matching

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APA (6th Edition):

Jann, D. 1. (2012). Bayesian Logistic Regression with Jaro-Winkler String Comparator Scores Provides Sizable Improvement in Probabilistic Record Matching. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148078

Chicago Manual of Style (16th Edition):

Jann, Dominic 1983-. “Bayesian Logistic Regression with Jaro-Winkler String Comparator Scores Provides Sizable Improvement in Probabilistic Record Matching.” 2012. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/148078.

MLA Handbook (7th Edition):

Jann, Dominic 1983-. “Bayesian Logistic Regression with Jaro-Winkler String Comparator Scores Provides Sizable Improvement in Probabilistic Record Matching.” 2012. Web. 20 Oct 2020.

Vancouver:

Jann D1. Bayesian Logistic Regression with Jaro-Winkler String Comparator Scores Provides Sizable Improvement in Probabilistic Record Matching. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/148078.

Council of Science Editors:

Jann D1. Bayesian Logistic Regression with Jaro-Winkler String Comparator Scores Provides Sizable Improvement in Probabilistic Record Matching. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148078

13. Sun, Xiuzhen. Bias Reduction and Goodness-of-Fit Tests in Conditional Logistic Regression Models.

Degree: PhD, Statistics, 2011, Texas A&M University

 This dissertation consists of three projects in matched case-control studies. In the first project, we employ a general bias preventive approach developed by Firth (1993)… (more)

Subjects/Keywords: matched case-control study; bias; bias reduction method; functional form; information matrix based test; modified score equation

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APA (6th Edition):

Sun, X. (2011). Bias Reduction and Goodness-of-Fit Tests in Conditional Logistic Regression Models. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8205

Chicago Manual of Style (16th Edition):

Sun, Xiuzhen. “Bias Reduction and Goodness-of-Fit Tests in Conditional Logistic Regression Models.” 2011. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8205.

MLA Handbook (7th Edition):

Sun, Xiuzhen. “Bias Reduction and Goodness-of-Fit Tests in Conditional Logistic Regression Models.” 2011. Web. 20 Oct 2020.

Vancouver:

Sun X. Bias Reduction and Goodness-of-Fit Tests in Conditional Logistic Regression Models. [Internet] [Doctoral dissertation]. Texas A&M University; 2011. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8205.

Council of Science Editors:

Sun X. Bias Reduction and Goodness-of-Fit Tests in Conditional Logistic Regression Models. [Doctoral Dissertation]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8205

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

Degree: PhD, Statistics, 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. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-10010

Chicago Manual of Style (16th Edition):

Singh, Trijya. “Efficient Small Area Estimation in the Presence of Measurement Error in Covariates.” 2012. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-10010.

MLA Handbook (7th Edition):

Singh, Trijya. “Efficient Small Area Estimation in the Presence of Measurement Error in Covariates.” 2012. Web. 20 Oct 2020.

Vancouver:

Singh T. Efficient Small Area Estimation in the Presence of Measurement Error in Covariates. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-10010.

Council of Science Editors:

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

15. Malloure, Matthew R. Goodness-of-Fit Testing Using Cross-Validation Bayes Factors.

Degree: PhD, Statistics, 2017, Texas A&M University

 Statistical methods for selecting between two competing models have a long and storied history from both the frequentist and Bayesian perspectives. That being said, there… (more)

Subjects/Keywords: Bayes factors; goodness-of-fit; cross-validation; multivariate kernel density estimate; Laplace approximation; model selection; Kullback-Leibler divergence; divide and conquer; curse of dimensionality; random effects model; likelihood ratio

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APA (6th Edition):

Malloure, M. R. (2017). Goodness-of-Fit Testing Using Cross-Validation Bayes Factors. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173070

Chicago Manual of Style (16th Edition):

Malloure, Matthew R. “Goodness-of-Fit Testing Using Cross-Validation Bayes Factors.” 2017. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/173070.

MLA Handbook (7th Edition):

Malloure, Matthew R. “Goodness-of-Fit Testing Using Cross-Validation Bayes Factors.” 2017. Web. 20 Oct 2020.

Vancouver:

Malloure MR. Goodness-of-Fit Testing Using Cross-Validation Bayes Factors. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/173070.

Council of Science Editors:

Malloure MR. Goodness-of-Fit Testing Using Cross-Validation Bayes Factors. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/173070

16. Wang, Xiaohui. Bayesian classification and survival analysis with curve predictors.

Degree: PhD, Statistics, 2009, Texas A&M University

 We propose classification models for binary and multicategory data where the predictor is a random function. The functional predictor could be irregularly and sparsely sampled… (more)

Subjects/Keywords: smoothing spline; wavelets; hierarchical modeling; generalized linear model; proportional hazards model

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APA (6th Edition):

Wang, X. (2009). Bayesian classification and survival analysis with curve predictors. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1205

Chicago Manual of Style (16th Edition):

Wang, Xiaohui. “Bayesian classification and survival analysis with curve predictors.” 2009. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-1205.

MLA Handbook (7th Edition):

Wang, Xiaohui. “Bayesian classification and survival analysis with curve predictors.” 2009. Web. 20 Oct 2020.

Vancouver:

Wang X. Bayesian classification and survival analysis with curve predictors. [Internet] [Doctoral dissertation]. Texas A&M University; 2009. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1205.

Council of Science Editors:

Wang X. Bayesian classification and survival analysis with curve predictors. [Doctoral Dissertation]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1205

17. Kim, Kyong Ryun. Second order accurate variance estimation in poststratified two-stage sampling.

Degree: PhD, Statistics, 2007, Texas A&M University

 We proposed new variance estimators for the poststratified estimator of the population total in two-stage sampling. The linearization or Taylor series variance estimator and the… (more)

Subjects/Keywords: second order linearization; poststratification

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APA (6th Edition):

Kim, K. R. (2007). Second order accurate variance estimation in poststratified two-stage sampling. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/5895

Chicago Manual of Style (16th Edition):

Kim, Kyong Ryun. “Second order accurate variance estimation in poststratified two-stage sampling.” 2007. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/5895.

MLA Handbook (7th Edition):

Kim, Kyong Ryun. “Second order accurate variance estimation in poststratified two-stage sampling.” 2007. Web. 20 Oct 2020.

Vancouver:

Kim KR. Second order accurate variance estimation in poststratified two-stage sampling. [Internet] [Doctoral dissertation]. Texas A&M University; 2007. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/5895.

Council of Science Editors:

Kim KR. Second order accurate variance estimation in poststratified two-stage sampling. [Doctoral Dissertation]. Texas A&M University; 2007. Available from: http://hdl.handle.net/1969.1/5895

18. Chui, Chin Man. Essays on exponential series estimation and application of copulas in financial econometrics.

Degree: PhD, Agricultural Economics, 2009, Texas A&M University

 This dissertation contains three essays. They are related to the exponential series estimation of copulas and the application of parametric copulas in financial econometrics. Chapter… (more)

Subjects/Keywords: Exponential Series Estimator; Copulas

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APA (6th Edition):

Chui, C. M. (2009). Essays on exponential series estimation and application of copulas in financial econometrics. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2857

Chicago Manual of Style (16th Edition):

Chui, Chin Man. “Essays on exponential series estimation and application of copulas in financial econometrics.” 2009. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2857.

MLA Handbook (7th Edition):

Chui, Chin Man. “Essays on exponential series estimation and application of copulas in financial econometrics.” 2009. Web. 20 Oct 2020.

Vancouver:

Chui CM. Essays on exponential series estimation and application of copulas in financial econometrics. [Internet] [Doctoral dissertation]. Texas A&M University; 2009. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2857.

Council of Science Editors:

Chui CM. Essays on exponential series estimation and application of copulas in financial econometrics. [Doctoral Dissertation]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2857

19. Lusher II, John David. High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data.

Degree: PhD, Electrical Engineering, 2018, Texas A&M University

 Brain connectivity networks help physicians better understand the neurological effects of certain diseases and make improved treatment options for patients. Voxel-to-Voxel Correlation Analysis (VVCA) of… (more)

Subjects/Keywords: Brain Functional Connectivity; fMRI; Seed-based Correlation Analysis; FPGA-based Parallel Computing; Human Connectome Project

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APA (6th Edition):

Lusher II, J. D. (2018). High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173805

Chicago Manual of Style (16th Edition):

Lusher II, John David. “High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data.” 2018. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/173805.

MLA Handbook (7th Edition):

Lusher II, John David. “High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data.” 2018. Web. 20 Oct 2020.

Vancouver:

Lusher II JD. High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/173805.

Council of Science Editors:

Lusher II JD. High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173805


Texas A&M University

20. Chen, Min. Modeling covariance structure in unbalanced longitudinal data.

Degree: PhD, Statistics, 2009, Texas A&M University

 Modeling covariance structure is important for efficient estimation in longitudinal data models. Modified Cholesky decomposition (Pourahmadi, 1999) is used as an unconstrained reparameterization of the… (more)

Subjects/Keywords: Longitudinal data; Unbalanced; Covariance

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APA (6th Edition):

Chen, M. (2009). Modeling covariance structure in unbalanced longitudinal data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-3073

Chicago Manual of Style (16th Edition):

Chen, Min. “Modeling covariance structure in unbalanced longitudinal data.” 2009. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-3073.

MLA Handbook (7th Edition):

Chen, Min. “Modeling covariance structure in unbalanced longitudinal data.” 2009. Web. 20 Oct 2020.

Vancouver:

Chen M. Modeling covariance structure in unbalanced longitudinal data. [Internet] [Doctoral dissertation]. Texas A&M University; 2009. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3073.

Council of Science Editors:

Chen M. Modeling covariance structure in unbalanced longitudinal data. [Doctoral Dissertation]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3073


Texas A&M University

21. Kim, Hyun Sun. Topics in ordinal logistic regression and its applications.

Degree: PhD, Statistics, 2004, Texas A&M University

 Sample size calculation methods for ordinal logistic regression are proposed to test statistical hypotheses. The author was motivated to do this work by the need… (more)

Subjects/Keywords: Ordinal logistic regression; Sample sizes

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APA (6th Edition):

Kim, H. S. (2004). Topics in ordinal logistic regression and its applications. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/1120

Chicago Manual of Style (16th Edition):

Kim, Hyun Sun. “Topics in ordinal logistic regression and its applications.” 2004. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/1120.

MLA Handbook (7th Edition):

Kim, Hyun Sun. “Topics in ordinal logistic regression and its applications.” 2004. Web. 20 Oct 2020.

Vancouver:

Kim HS. Topics in ordinal logistic regression and its applications. [Internet] [Doctoral dissertation]. Texas A&M University; 2004. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/1120.

Council of Science Editors:

Kim HS. Topics in ordinal logistic regression and its applications. [Doctoral Dissertation]. Texas A&M University; 2004. Available from: http://hdl.handle.net/1969.1/1120


Texas A&M University

22. Guan, Yong Tao. Nonparametric methods of assessing spatial isotropy.

Degree: PhD, Statistics, 2004, Texas A&M University

 A common requirement for spatial analysis is the modeling of the second-order structure. While the assumption of isotropy is often made for this structure, it… (more)

Subjects/Keywords: spatial isotropy; subsampling

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APA (6th Edition):

Guan, Y. T. (2004). Nonparametric methods of assessing spatial isotropy. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/1158

Chicago Manual of Style (16th Edition):

Guan, Yong Tao. “Nonparametric methods of assessing spatial isotropy.” 2004. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/1158.

MLA Handbook (7th Edition):

Guan, Yong Tao. “Nonparametric methods of assessing spatial isotropy.” 2004. Web. 20 Oct 2020.

Vancouver:

Guan YT. Nonparametric methods of assessing spatial isotropy. [Internet] [Doctoral dissertation]. Texas A&M University; 2004. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/1158.

Council of Science Editors:

Guan YT. Nonparametric methods of assessing spatial isotropy. [Doctoral Dissertation]. Texas A&M University; 2004. Available from: http://hdl.handle.net/1969.1/1158


Texas A&M University

23. Ju, Hyunsu. Topics in analyzing longitudinal data.

Degree: PhD, Statistics, 2005, Texas A&M University

 We propose methods for analyzing longitudinal data, obtained in clinical trials and other applications with repeated measures of responses taken over time. Common characteristics of… (more)

Subjects/Keywords: Analyzing Longitudinal Data

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APA (6th Edition):

Ju, H. (2005). Topics in analyzing longitudinal data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/1565

Chicago Manual of Style (16th Edition):

Ju, Hyunsu. “Topics in analyzing longitudinal data.” 2005. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/1565.

MLA Handbook (7th Edition):

Ju, Hyunsu. “Topics in analyzing longitudinal data.” 2005. Web. 20 Oct 2020.

Vancouver:

Ju H. Topics in analyzing longitudinal data. [Internet] [Doctoral dissertation]. Texas A&M University; 2005. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/1565.

Council of Science Editors:

Ju H. Topics in analyzing longitudinal data. [Doctoral Dissertation]. Texas A&M University; 2005. Available from: http://hdl.handle.net/1969.1/1565


Texas A&M University

24. Kim, Myung Suk. Statistical testing and estimation in continuous time interest rate models.

Degree: PhD, Statistics, 2006, Texas A&M University

 The shape of drift function in continuous time interest rate models has been investigated by many authors during the past decade. The main concerns have… (more)

Subjects/Keywords: Drift Function; Continuous Time Models

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APA (6th Edition):

Kim, M. S. (2006). Statistical testing and estimation in continuous time interest rate models. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/4189

Chicago Manual of Style (16th Edition):

Kim, Myung Suk. “Statistical testing and estimation in continuous time interest rate models.” 2006. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/4189.

MLA Handbook (7th Edition):

Kim, Myung Suk. “Statistical testing and estimation in continuous time interest rate models.” 2006. Web. 20 Oct 2020.

Vancouver:

Kim MS. Statistical testing and estimation in continuous time interest rate models. [Internet] [Doctoral dissertation]. Texas A&M University; 2006. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/4189.

Council of Science Editors:

Kim MS. Statistical testing and estimation in continuous time interest rate models. [Doctoral Dissertation]. Texas A&M University; 2006. Available from: http://hdl.handle.net/1969.1/4189


Texas A&M University

25. Ren, Haobo. Functional inverse regression and reproducing kernel Hilbert space.

Degree: PhD, Statistics, 2006, Texas A&M University

 The basic philosophy of Functional Data Analysis (FDA) is to think of the observed data functions as elements of a possibly infinite-dimensional function space. Most… (more)

Subjects/Keywords: Functional data analaysis; Inverse Regression; Reproducing Kernel Hilbert Space

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APA (6th Edition):

Ren, H. (2006). Functional inverse regression and reproducing kernel Hilbert space. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/4203

Chicago Manual of Style (16th Edition):

Ren, Haobo. “Functional inverse regression and reproducing kernel Hilbert space.” 2006. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/4203.

MLA Handbook (7th Edition):

Ren, Haobo. “Functional inverse regression and reproducing kernel Hilbert space.” 2006. Web. 20 Oct 2020.

Vancouver:

Ren H. Functional inverse regression and reproducing kernel Hilbert space. [Internet] [Doctoral dissertation]. Texas A&M University; 2006. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/4203.

Council of Science Editors:

Ren H. Functional inverse regression and reproducing kernel Hilbert space. [Doctoral Dissertation]. Texas A&M University; 2006. Available from: http://hdl.handle.net/1969.1/4203


Texas A&M University

26. Lai, Liona Hoi Yan. Are independent directors effective in lowering earnings management in China?.

Degree: PhD, Accounting, 2006, Texas A&M University

 This study examines whether board independence is an effective corporate governance mechanism in reducing earnings management in China, a country with significantly different institutional and… (more)

Subjects/Keywords: Earnings Management; Independent Directors; China

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APA (6th Edition):

Lai, L. H. Y. (2006). Are independent directors effective in lowering earnings management in China?. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/4307

Chicago Manual of Style (16th Edition):

Lai, Liona Hoi Yan. “Are independent directors effective in lowering earnings management in China?.” 2006. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/4307.

MLA Handbook (7th Edition):

Lai, Liona Hoi Yan. “Are independent directors effective in lowering earnings management in China?.” 2006. Web. 20 Oct 2020.

Vancouver:

Lai LHY. Are independent directors effective in lowering earnings management in China?. [Internet] [Doctoral dissertation]. Texas A&M University; 2006. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/4307.

Council of Science Editors:

Lai LHY. Are independent directors effective in lowering earnings management in China?. [Doctoral Dissertation]. Texas A&M University; 2006. Available from: http://hdl.handle.net/1969.1/4307


Texas A&M University

27. Zhang, Weimin. Topics in living cell miultiphoton laser scanning microscopy (MPLSM) image analysis.

Degree: PhD, Statistics, 2006, Texas A&M University

 Multiphoton laser scanning microscopy (MPLSM) is an advanced fluorescence imaging technology which can produce a less noisy microscope image and minimize the damage in living… (more)

Subjects/Keywords: spatial analysis; image analysis; Multiphoton Laser Scaning Microscopy; image segmentation; statistical data mining; spatial point pattern analysis; MCMC simulation

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APA (6th Edition):

Zhang, W. (2006). Topics in living cell miultiphoton laser scanning microscopy (MPLSM) image analysis. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/4412

Chicago Manual of Style (16th Edition):

Zhang, Weimin. “Topics in living cell miultiphoton laser scanning microscopy (MPLSM) image analysis.” 2006. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/4412.

MLA Handbook (7th Edition):

Zhang, Weimin. “Topics in living cell miultiphoton laser scanning microscopy (MPLSM) image analysis.” 2006. Web. 20 Oct 2020.

Vancouver:

Zhang W. Topics in living cell miultiphoton laser scanning microscopy (MPLSM) image analysis. [Internet] [Doctoral dissertation]. Texas A&M University; 2006. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/4412.

Council of Science Editors:

Zhang W. Topics in living cell miultiphoton laser scanning microscopy (MPLSM) image analysis. [Doctoral Dissertation]. Texas A&M University; 2006. Available from: http://hdl.handle.net/1969.1/4412


Texas A&M University

28. Wang, Yong. Security Analysis and Improvement Model for Web-based Applications.

Degree: PhD, Computer Science, 2010, Texas A&M University

 Today the web has become a major conduit for information. As the World Wide Web?s popularity continues to increase, information security on the web has… (more)

Subjects/Keywords: security analysis; risk assessment; web-based applications; Markov Process Model

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APA (6th Edition):

Wang, Y. (2010). Security Analysis and Improvement Model for Web-based Applications. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-110

Chicago Manual of Style (16th Edition):

Wang, Yong. “Security Analysis and Improvement Model for Web-based Applications.” 2010. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-110.

MLA Handbook (7th Edition):

Wang, Yong. “Security Analysis and Improvement Model for Web-based Applications.” 2010. Web. 20 Oct 2020.

Vancouver:

Wang Y. Security Analysis and Improvement Model for Web-based Applications. [Internet] [Doctoral dissertation]. Texas A&M University; 2010. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-110.

Council of Science Editors:

Wang Y. Security Analysis and Improvement Model for Web-based Applications. [Doctoral Dissertation]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-110


Texas A&M University

29. Lee, Sang-Joon. Asymptotics and computations for approximation of method of regularization estimators.

Degree: PhD, Statistics, 2005, Texas A&M University

 Inverse problems arise in many branches of natural science, medicine and engineering involving the recovery of a whole function given only a finite number of… (more)

Subjects/Keywords: Method of Regularization; Spline Smoothings

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APA (6th Edition):

Lee, S. (2005). Asymptotics and computations for approximation of method of regularization estimators. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/2266

Chicago Manual of Style (16th Edition):

Lee, Sang-Joon. “Asymptotics and computations for approximation of method of regularization estimators.” 2005. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/2266.

MLA Handbook (7th Edition):

Lee, Sang-Joon. “Asymptotics and computations for approximation of method of regularization estimators.” 2005. Web. 20 Oct 2020.

Vancouver:

Lee S. Asymptotics and computations for approximation of method of regularization estimators. [Internet] [Doctoral dissertation]. Texas A&M University; 2005. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/2266.

Council of Science Editors:

Lee S. Asymptotics and computations for approximation of method of regularization estimators. [Doctoral Dissertation]. Texas A&M University; 2005. Available from: http://hdl.handle.net/1969.1/2266


Texas A&M University

30. Lopez Collado, Catalino Jorge. A conceptual model to estimate the nitrogen requirement of corn (Zea mays L.).

Degree: PhD, Soil Science, 2007, Texas A&M University

 The objectives of this work were to evaluate the vegetative parameters used to estimate crop N demand and to estimate the accuracy and precision of… (more)

Subjects/Keywords: conceptual model; nitrogen; corn; nitrogen supply

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APA (6th Edition):

Lopez Collado, C. J. (2007). A conceptual model to estimate the nitrogen requirement of corn (Zea mays L.). (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/4846

Chicago Manual of Style (16th Edition):

Lopez Collado, Catalino Jorge. “A conceptual model to estimate the nitrogen requirement of corn (Zea mays L.).” 2007. Doctoral Dissertation, Texas A&M University. Accessed October 20, 2020. http://hdl.handle.net/1969.1/4846.

MLA Handbook (7th Edition):

Lopez Collado, Catalino Jorge. “A conceptual model to estimate the nitrogen requirement of corn (Zea mays L.).” 2007. Web. 20 Oct 2020.

Vancouver:

Lopez Collado CJ. A conceptual model to estimate the nitrogen requirement of corn (Zea mays L.). [Internet] [Doctoral dissertation]. Texas A&M University; 2007. [cited 2020 Oct 20]. Available from: http://hdl.handle.net/1969.1/4846.

Council of Science Editors:

Lopez Collado CJ. A conceptual model to estimate the nitrogen requirement of corn (Zea mays L.). [Doctoral Dissertation]. Texas A&M University; 2007. Available from: http://hdl.handle.net/1969.1/4846

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