Search results | J. Murrey Atkins Library

Title: Modeling the Crash Injury Severity in Work Zone Areas on Freeways
Author: Miatudila, Sr., Alain
Date Created: 2016
Subjects--Topical: Civil engineering, Transportation, Statistics
Description: The rising frequency of crashes in work zones on American freeways is a growing issue inherently linked to the degrading state of our transportation infrastructure. As travel demand increases and our infrastructure continues to age and wear out, w...

Title: LIMIT THEOREMS FOR ONE CLASS OF ERGODIC MARKOV CHAINS
Author: Turhan, Nezihe
Date Created: 2016
Subjects--Topical: Statistics, Mathematics
Description: The goal of this dissertation is to develop some classical limit theorems for the additive functionals of the homogeneous Markov chains in the special class of the so-called, Loop Markov Chains. The additive functionals of the Markov chains have t...

Title: LIMIT THEOREMS FOR RANDOM EXPONENTIAL SUMS AND THEIR APPLICATIONS TO INSURANCE AND THE RANDOM ENERGY MODEL
Author: Erturk, Huseyin
Date Created: 2016
Subjects--Topical: Mathematics, Statistics
Description: In this dissertation, we are mainly concerned with the sum of random exponentials. Here, the random variables are independent and identically distributed. Another distinctive assumption is the number of variables in this sum is a function of the c...

Title: Analysis of semiparametric regression models for the cumulative incidence functions under the two-phase sampling designs.
Author: Lee, Unkyung
Date Created: 2016
Subjects--Topical: Statistics, Mathematics
Description: Competing risks often arise where more than one event compete with each other for a subject. The cumulative incidence function is a proper summary quantity for analyzing competing risks data. In epidemiologic cohort studies, case-cohort study desi...

Title: NONPARAMETRIC PREDICTIVE REGRESSION
Author: Yu, Xintian
Date Created: 2016
Subjects--Topical: Statistics, Finance, Economics
Description: In ﬁnancial time series nonlinear eﬀects and time-varying eﬀects are observed. In this dissertation we propose a predictive regression model with time varying coeﬃcients and functional coeﬃcients. It allows for nonstationary predictors. We establi...