Browsing by Subject "Regression"
Now showing items 1-13 of 13
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Accounting for the effects of rehabilitation actions on the reliability of flexible pavements: performance modeling and optimization
(2009-05-15)A performance model and a reliability-based optimization model for flexible pavements that accounts for the effects of rehabilitation actions are developed. The developed performance model can be effectively implemented ... -
An AI-Horticulture Monitoring and Prediction System with Automatic Object Counting
(2019-11-21)Estimating density maps and counting the number of objects of interest from images has a wide range of applications, such as crowd counting, traffic monitoring, cell microscopy in biomedical imaging, plant counting in ... -
Approximate Models for Neutral Particle Transport in Ducts with Wall Migration
(2016-08-08)The problem of monoenergetic neutral particle transport in a duct with wall migration for various shielding materials is treated using an approximate one-dimensional model and a Monte Carlo-based multivariate logistic ... -
Bayesian Methods in Nutrition Epidemiology and Regression-based Predictive Models in Healthcare
(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 ... -
Bayesian Shrinkage: Computation, Methods and Theory
(2018-08-06)Sparsity is a standard structural assumption that is made while modeling high-dimensional statistical parameters. This assumption essentially entails a lower dimensional embedding of the high-dimensional parameter thus ... -
Does the Outcome of the US-China Trade War Meet the Purpose?
Nowadays, as the two largest economies in the world, China and US economic relations have expanded substantially over the past decades. China is the US's second-largest merchandise trading partner, third-largest export ... -
Efficient Estimation in a Regression Model with Missing Responses
(2012-10-19)This article examines methods to efficiently estimate the mean response in a linear model with an unknown error distribution under the assumption that the responses are missing at random. We show how the asymptotic variance ... -
Error analysis for randomized uniaxial stretch test on high strain materials and tissues
(Texas A&M University, 2006-08-16)Many people have readily suggested different types of hyperelastic models for high strain materials and biotissues since the 1940Â’s without validating them. But, there is no agreement for those models and no model is ... -
Hybrid Rocket Burning Rate Enhancement by Nano-Scale Additives in HTPB Fuel Grains
(2014-12-10)Low regression rates in hybrid rockets limit their use and capability, but additive aluminum nano-particles represent a possible solution to this problem. In this thesis, aluminum nano-particles were characterized and added ... -
Improving Regression Analysis to Predict Aquatic Life Potential in the Streams of Austin, Texas
(2016-08-22)The aim for this study was to test if the City of Austin (COA) would gain more accurate estimations on Aquatic Life Potential (AQP) by regression equations with common watersheds characteristics, rather than using one ... -
A New Method for History Matching and Forecasting Shale Gas/Oil Reservoir Production Performance with Dual and Triple Porosity Models
(2012-10-19)Different methods have been proposed for history matching production of shale gas/oil wells which are drilled horizontally and usually hydraulically fractured with multiple stages. These methods are simulation, analytical ... -
Open source software maturity model based on linear regression and Bayesian analysis
(2009-05-15)Open Source Software (OSS) is widely used and is becoming a significant and irreplaceable part of the software engineering community. Today a huge number of OSS exist. This becomes a problem if one needs to choose from ...