Browsing by Author "Carroll, Raymond J."
Now showing items 1-20 of 46
-
Redd, Andrew Middleton (2011-10-21)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 principal component analysis is an important approach ...
-
Li, Bo (2009-06-02)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 asymptotic joint distribution of sample space-time ...
-
Baladandayuthapani, Veerabhadran (Texas A&M University, 2007-04-25)This work is directed towards developing flexible Bayesian statistical methods in the semi- and nonparamteric regression modeling framework with special focus on analyzing data from biological and genetic experiments. This ...
-
Zhang, Saijuan (2012-02-14)This dissertation has mainly two parts. In the first part, we propose a bivariate nonlinear multivariate measurement error model to understand the distribution of dietary intake and extend it to a multivariate model to ...
-
Roy Chowdhury, Ananya (2023-03-30)In a regression setup, one of the most encountered problem is the presence of error in the predictor(s) - also known as measurement error models. A popular way of dealing with measurement error models is a semiparametric ...
-
Lennox, Kristin Patricia (2011-10-21)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 structures is to conduct a ...
-
Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors Sarkar, Abhra (2014-06-24)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 errors-in-covariates are available ...
-
Dhavala, Soma Sekhar (2012-02-14)We are concerned with testing for differential expression and consider three different aspects of such testing procedures. First, we develop an exact ANOVA type model for discrete gene expression data, produced by ...
-
Cho, Young Mi (2012-10-19)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, 22:6 n-3) and pectin (fermented to butyrate ...
-
Knickerbocker, Ronald Keith (Texas A&M University. Libraries, 1993)In many regression models one or more of the covariates are measured with error. It is well known that in such situations, traditional estimation procedures using the mismeasured covariates can lead to misleading results. ...
-
Cao, Xiaojuan (2009-05-15)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 factors can reduce risk of ASCVD. Oleic acid ...
-
Sanders, Lisa Merle (Texas A&M University, 2006-08-16)Colon cancer is one of the most commonly diagnosed cancers in the US, yet small intestine cancer is a rare event. While there are many similarities between these two tissues, inherent differences such as redox status, may ...
-
Newton, Anne Henry (Texas A&M University, 2005-11-01)We have previously shown that dietary fish oil and the fiber pectin protect against colon cancer in rats by increasing apoptosis induced by reactive oxygen species (ROS) at the initiation stage of tumorigenesis. We ...
-
Maity, Arnab (2009-05-15)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 developed, on the other hand the resulting theory and estimation ...
-
Garcia, Tanya (2012-10-19)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 lies in estimating finite-dimensional parameters ...
-
Singh, Trijya (2012-10-19)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 research and many other areas. However, it is often difficult ...
-
Hwang, Lie-Ju (Texas A&M University. Libraries, 1990)The problem concerns the analysis of assay data when there have been previous similar experiments. Assay data usually fall under the framework of nonlinear regression when the variability about the regression line is ...
-
Landin, Richard (Texas A&M University. Libraries, 1992)In many nutritional studies the probability of obtaining a certain disease is believed to be related to a certain predictor variable. In order to test for the relationship between the predictor variable and the disease it ...
-
Liu, Yingxue (2009-05-15)This dissertation includes three components. Component 1 provides an estima- tion procedure for circadian parameters in cyanobacteria. Component 2 explores the relationship between baseline and amplitude by model selection ...
-
Zhong, Ming (2011-08-08)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 advantageous allele frequency and linkage disequilibrium ...