Browsing by Thesis Department "Statistics"
Now showing items 2140 of 46

Hierarchical physicalstatistical forecasting in the atmospheric sciences
(University of MissouriColumbia, 2009)A class of hierarchical Bayesian models is introduced for PhysicalStatistical forecasting purposes in the Atmospheric Sciences. The first project describes a methodological approach to implement a stochastic trigger ... 
Hierarchical spatiotemporal models for ecological processes
(University of MissouriColumbia, 2006)Ecosystems are composed of phenomena that propagate in time and space. Often, ecological processes underlying such phenomena are studied separably in various subdisciplines, while larger scale, interlinking mechanisms are ... 
Hierarchical spatiotemporal models for environmental processes
(University of MissouriColumbia, 2007)The processes governing environmental systems are often complex, involving different interacting scales of variability in space and time. The complexities and often high dimensionality of such spatiotemporal processes can ... 
Marginally modeling misaligned regions and handling masked failure causes with imprecision
(University of MissouriColumbia, 2012)For many datasets, multiple variables measured on (possibly differing) areal units are available. We wish to simultaneously model both 1) the spatial relations within each variable, and 2) the relations between variables. ... 
Multiple imputation approaches to regression analysis of intervalcensored failure time data
(University of MissouriColumbia, 2009)This dissertation discusses regression analysis of intervalcensored failure time data, which occur in many fields including demographical, epidemiological, financial, medical, and sociological studies (Sun, 2006). It ... 
Nonparametric analysis of intervalcensored failure time data
(University of MissouriColumbia, 2009)This thesis considers the problem of treatment comparisons when only intervalcensored failure time data are available. This type of data occurs frequently in clinical trials and other followup studies. We study several ... 
The nonparametric analysis of intervalcensored failure time data
(University of MissouriColumbia, 2013)By intervalcensored 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 intervalcensored observation for a ... 
Nonparametric and semiparametric methods for intervalcensored failure time data
(University of MissouriColumbia, 2006)Intervalcensored failure time data commonly arise in followup studies such as clinical trials and epidemiology studies. By intervalcensored data, we mean that the failure time of interest is not completely observed. ... 
Objective Bayesian inference for stressstrength models and Bayesian ANOVA
(University of MissouriColumbia, 2012)First of all, for estimating the reliabilities in Weibull stressstrength models, some matching priors are derived based on a modi ed pro le likelihood. Simulation studies show that these matching priors perform well with ... 
Optimal designs for dosefinding in contingent response models
(University of MissouriColumbia, 2004)We study D and coptimal designs for dosefinding with opposing failure functions. In particular, we study the contingent response models of Li, Durham and Flournoy (1995). In the contingent response model, there are two ... 
Optimal designs for response functions with a downturn
(University of MissouriColumbia, 2010)In many toxicological assays, interactions between primary and secondary effects may cause a downturn in mean responses at high doses. In this situation, the typical monotonicity assumption is invalid and may be quite ... 
OPTIMAL EXPERIMENTAL DESIGN UNDER A NEW MULTIVARIATE WEIBULL REGRESSION FUNCTION
([University of MissouriColumbia], 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 intervalcensored failure time data
(University of MissouriColumbia, 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 ... 
Regression analysis of clustered intervalcensored failure time data with informative cluster size
(University of MissouriColumbia, 2010)Correlated or clustered failure time data often occur in many research fields including epidemiological, geographical, sociological and medical studies. Sometimes such data arise together with interval censoring and the ... 
Semiparametric regression analysis of intervalcensored failure time data
([University of MissouriColumbia], 2014)By intervalcensored 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 intervalcensored ... 
Semiparametric analysis of panel count data
(University of MissouriColumbia, 2007)Panel count data often arise in long term studies that concern occurrence rates of certain recurrent events. In such studies, each subject is observed only at finite discrete time points instead of continuously, and only ... 
Semiparametric and nonparametric methods for the analysis of panel count data
(University of MissouriColumbia, 2013)Panel count data are one type of eventhistory data concerning recurrent events. Ideally for an eventhistory study, subjects should be monitored continuously, so for the events that may happen recurrently over time, the ... 
Semiparametric transformation models for panel count data
(University of MissouriColumbia, 2011)Panel count data arise in event history studies. It may not be feasible to monitor subjects continuously and recurrent events can be observed only at discrete time points rather than continuously and thus only the numbers ... 
Spatiotemporal models with timevarying spatial model error for environmental processes
(University of MissouriColumbia, 2013)Environmental processes exhibit uncertainty in the spatial and temporal domains. Often, mechanistic forecast models, such as weather forecasting systems, may not necessarily match the observed data, resulting in the need ... 
Statistical analysis for survival data with missing information
(University of MissouriColumbia, 2009)As a branch of statistics, survival analysis, which is often referred to as "reliability theory" in engineering, has a long history. While in practical problems, some information might be missing. This dissertation discusses ...