## Search

Now showing items 1-20 of 85

#### Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty

(University of Missouri--Columbia, 2012)

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Dynamic spatio-temporal models are statistical models that specify the joint distribution of a spatio-temporal process as the product of a series of ...

#### Two stage adaptive optimal design with applications to dose-finding clinical trials

(University of Missouri--Columbia, 2013)

In adaptive optimal designs, each stage uses an estimate of the locally optimal design derived using cumulative data from all prior stages. This dependency on prior stages a ffects the properties of maximum likelihood ...

#### Semi-parametric regression analysis of interval-censored failure time dataSemi-parametric regression analysis of interval-censored failure time data

([University of Missouri--Columbia], 2014)

By interval-censored data, we mean that the failure time of interest is known only to lie within an interval instead of being observed exactly. Many clinical trials and longitudinal studies may generate interval-censored ...

#### Semiparametric and nonparametric methods for the analysis of panel count data

(University of Missouri--Columbia, 2013)

Panel count data are one type of event-history data concerning recurrent events. Ideally for an event-history study, subjects should be monitored continuously, so for the events that may happen recurrently over time, the ...

#### The nonparametric analysis of interval-censored failure time data

(University of Missouri--Columbia, 2013)

By interval-censored failure time data, we mean that the failure time of interest is observed to belong to some windows or intervals, instead of being known exactly. One would get an interval-censored observation for a ...

#### Adaptive optimal designs for dose-finding studies and an adaptive multivariate CUSUM control chart

(University of Missouri--Columbia, 2013)

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] There are many areas where optimal designs are applied to, for example, the development of a new drug, where a conventional dose- finding study involves ...

#### Hierarchical nonlinear, multivariate, and spatially-dependent time-frequency functional methods

(University of Missouri--Columbia, 2013)

Notions of time and frequency are important constituents of most scientific inquiries,
providing complimentary information. In an era of “big data,” methodology
for analyzing functional and/or image data is increasingly ...

#### Objective Bayesian inference for stress-strength models and Bayesian ANOVA

(University of Missouri--Columbia, 2012)

First of all, for estimating the reliabilities in Weibull stress-strength models, some matching priors are derived based on a modi ed pro le likelihood. Simulation studies show that these matching priors perform well with ...

#### Bayesian fMRI data analysis and Bayesian optimal design

(University of Missouri--Columbia, 2012)

The present dissertation consists of the work done on two projects. As part of the first project, we develop methodology for Bayesian hierarchical multi-subject multiscale analysis of functional magnetic resonance imaging ...

#### Design and analysis of a new bounded log-linear regression model

(University of Missouri--Columbia, 2013)

This dissertation introduces a new regression model in which the response variable is bounded by two unknown parameters. A special case is a bounded alternative to the four parameter logistic model which is also called the ...

#### Statistical analysis of length-biased and right-censored data

(University of Missouri--Columbia, 2013)

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Biased sampling arises when the observations are not randomly selected from the target population. When the sampling probability is proportional to the ...

#### Optimal experimental design under a new multivariate Weibull regression function

([University of Missouri--Columbia], 2014)

In the manufacturing industry, it may be important to study the relationship between machine component failures under stress. Examples include failures such as integrated circuits and memory chips in electronic merchandise ...

#### Regression analysis of clustered interval-censored failure time data

(University of Missouri--Columbia, 2012)

Clustered failure time data occur when the failure times of interest are clustered into small groups, while interval censoring occurs when the event of interest cannot be observed directly and is only known to have occurred ...

#### Bayesian hierarchical models for estimating nest survival

(University of Missouri--Columbia, 2015)

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Nest survival rate is a critical value in avian study to evaluate the landbirds populations. The widely used likelihood-based logistic regression model ...

#### Objective Bayesian analysis of the 2 x 2 contingency table and the negative binomial distribution

(University of Missouri--Columbia, 2018)

In Bayesian analysis, the “objective” Bayesian approach seeks to select a prior distribution not by using (often subjective) scientific belief or by mathematical convenience, but rather by deriving it under a pre-specified ...

#### Semiparametric methods for regression analysis of panel count data and mixed panel count data

(University of Missouri--Columbia, 2017)

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Recurrent event data and panel count data are two common types of data that have been studied extensively in event history studies in literature. By ...

#### Regression analysis of interval-censored failure time data with non proportional hazards models

(University of Missouri--Columbia, 2018)

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Interval-censored failure time data arises when the failure time of interest is known only to lie within an interval or window instead of being observed ...

#### Bayesian hierarchical modeling of colorectal and breast cancer data in Missouri

(University of Missouri--Columbia, 2018)

Data on cancer in the United States is collected through cancer registries. The Missouri Cancer Registry and Research Center (MCR-ARC) maintains a statewide cancer surveillance system and participate in research in support ...

#### Spatio-temporal models with time-varying spatial model error for environmental processes

(University of Missouri--Columbia, 2013)

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Environmental processes exhibit uncertainty in the spatial and temporal domains. Often, mechanistic forecast models, such as weather forecasting systems, ...

#### Bayesian smoothing spline models and their application in estimating yield curves

(University of Missouri--Columbia, 2015)

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] The term structure of interest rates, also called the yield curve, is the series of interest rates ordered by term to maturity at a given time. The ...