• Hierarchical physical-statistical forecasting in the atmospheric sciences 

    Song, Yong, 1974-. (University of Missouri--Columbia, 2009)
    A class of hierarchical Bayesian models is introduced for Physical-Statistical forecasting purposes in the Atmospheric Sciences. The first project describes a methodological approach to implement a stochastic trigger ...
  • Hierarchical spatio-temporal models for ecological processes 

    Hooten, Mevin B., 1976- (University of Missouri--Columbia, 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 spatio-temporal models for environmental processes 

    Arab, Ali, 1975- (University of Missouri--Columbia, 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 spatio-temporal processes can ...
  • Marginally modeling misaligned regions and handling masked failure causes with imprecision 

    Schmaltz, Chester Lee (University of Missouri--Columbia, 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 interval-censored failure time data 

    Chen, Ling, 1973- (University of Missouri--Columbia, 2009)
    This dissertation discusses regression analysis of interval-censored failure time data, which occur in many fields including demographical, epidemiological, financial, medical, and sociological studies (Sun, 2006). It ...
  • Nonparametric analysis of interval-censored failure time data 

    Gorelick, Jeremy, 1981- (University of Missouri--Columbia, 2009)
    This thesis considers the problem of treatment comparisons when only interval-censored failure time data are available. This type of data occurs frequently in clinical trials and other follow-up studies. We study several ...
  • The nonparametric analysis of interval-censored failure time data 

    Duan, Ran (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 ...
  • Nonparametric and semiparametric methods for interval-censored failure time data 

    Zhu, Chao, 1979- (University of Missouri--Columbia, 2006)
    Interval-censored failure time data commonly arise in follow-up studies such as clinical trials and epidemiology studies. By interval-censored data, we mean that the failure time of interest is not completely observed. ...
  • Objective Bayesian inference for stress-strength models and Bayesian ANOVA 

    Min, Xiaoyi (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 ...
  • Optimal designs for dose-finding in contingent response models 

    Rabie, Huwaida, 1958- (University of Missouri--Columbia, 2004)
    We study D- and c-optimal designs for dose-finding 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 

    Hyun, Seung Won, 1980- (University of Missouri--Columbia, 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 

    Kim, Sungwook, 1980- ([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 

    Li, Junlong (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 ...
  • Regression analysis of clustered interval-censored failure time data with informative cluster size 

    Zhang, Xinyan, 1976- (University of Missouri--Columbia, 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 ...
  • Semi-parametric regression analysis of interval-censored failure time data 

    Ma, Ling, 1988- ([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 analysis of panel count data 

    He, Xin, 1981- (University of Missouri--Columbia, 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 

    Li, Yang, 1983- (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 ...
  • Semiparametric transformation models for panel count data 

    Li, Ni (University of Missouri--Columbia, 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 ...
  • Spatio-temporal models with time-varying spatial model error for environmental processes 

    Gladish, Daniel, 1982- (University of Missouri--Columbia, 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 

    Zhang, Bin, 1979- (University of Missouri--Columbia, 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 ...