Browsing Graduate School (MU) by Thesis Department "Statistics"
Now showing items 116 of 16

Adaptive optimal designs for dosefinding studies and an adaptive multivariate CUSUM control chart
(University of MissouriColumbia, 2013)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 learning about the doseresponse curve in order to bring forward right ... 
Bayesian fMRI data analysis and Bayesian optimal design
(University of MissouriColumbia, 2012)The present dissertation consists of the work done on two projects. As part of the first project, we develop methodology for Bayesian hierarchical multisubject multiscale analysis of functional magnetic resonance imaging ... 
Bayesian nonlinear methods for survival analysis and structural equation models
(University of MissouriColumbia, 2014)Statistics 
Design and analysis of a new bounded loglinear regression model
(University of MissouriColumbia, 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 ... 
THE FORMAL DEFINITION OF REFERENCE PRIORS UNDER A GENERAL CLASS OF DIVERGENCE
(University of MissouriColumbia, 2014)Statistics 
Hierarchical modeling of nonlinear multivariate spatiotemporal dynamical systems in the presence of uncertainty
(University of MissouriColumbia, 2012)Dynamic spatiotemporal models are statistical models that specify the joint distribution of a spatiotemporal process as the product of a series of conditional models whereby the current value of the process is conditioned ... 
Hierarchical nonlinear, multivariate, and spatiallydependent timefrequency functional methods
(University of MissouriColumbia, 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 ... 
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 ... 
OPTIMAL EXPERIMENTAL DESIGN UNDER A NEW MULTIVARIATE WEIBULL REGRESSION FUNCTION
(University of MissouriColumbia, 2014)Statistics 
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 ... 
Semiparametric regression analysis of intervalcensored failure time data
(University of MissouriColumbia, 2014)Statistics 
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 ... 
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 of lengthbiased and rightcensored data
(University of MissouriColumbia, 2013)Biased sampling arises when the observations are not randomly selected from the target population. When the sampling probability is proportional to the underlying outcome of interest, this is known as lengthbiased sampling. ... 
Statistical image analysis of photoactivated localization microscopy
(University of MissouriColumbia, 2013)Fluorescent microscopy is a traditional way of localizing the biological molecules in the living cells. However, the diffraction limit makes it difficult to resolve any molecules whose distance are less than 250 nm. To ... 
Two stage adaptive optimal design with applications to dosefinding clinical trials
(University of MissouriColumbia, 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 ...