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Dissertations, Academic -- University of Missouri--Columbia -- Statistics
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Dissertations, Academic -- University of Missouri--Columbia -- Statistics
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- Wavelet-based methods for estimation and discrimination
- A ballooned beta-logistic model
- A class of tests for the matrix order
- A comparative study of tests for normality
- A hierarchical Bayesian mixture approach for modeling reflectivity fields with application to Nowcasting
- A mixed model for variance of successive difference of stationary time series : modeling temporal instability in intensive longitudinal data
- A random effects model for studying small joint frequencies : a joint empirical bayes method for estimating mortality rate for two diseases
- A test of homogeneity with a simply ordered alternative based on dependent observations
- Accelerated life testing and safe dose estimation when there are competing causes of failure
- Adaptive optimal design with application to a two drug combination trial based on efficiency-toxicity response
- Adaptive optimal designs for dose-finding studies and an adaptive multivariate CUSUM control chart
- An adaptive, robust and high performance clustering method
- An analytical study of teacher evaluation questionnaires
- An evaluation of eight multiple-comparison procedures in an order-restricted setting
- An influence diagnostic, selection criteria, and a bayesian multiple comparison procedure for mixed models
- Applications of bayesian methods to arthritis research
- Assessing schizophrenia with shape analysis
- Asymptotic normality of maximum likelihood estimators of prior distribution parameters used for studying cancer mortality rates
- Bayes factor consistency in linear models when p grows with n
- Bayesian analysis for avian nest survival models
- Bayesian analysis for various order restricted problems
- Bayesian analysis of capture-recapture model and diagnostic test in clinical trials
- Bayesian analysis of capture-recapture models
- Bayesian analysis of competing risks, change-point and related models
- Bayesian analysis of competing risks, change-point and related models
- Bayesian analysis of fMRI data and RNA-seq time course experiment data
- Bayesian analysis of multivariate stochastic volatility and dynamic models
- Bayesian analysis of response time data
- Bayesian analysis of spatial and survival models with applications of computation techniques
- Bayesian estimation of system reliability under asymmetric loss
- Bayesian estimation of system reliability under asymmetric loss
- Bayesian fMRI data analysis and Bayesian optimal design
- Bayesian hierarchical modeling of colorectal and breast cancer data in Missouri
- Bayesian hierarchical models and applications in cancer analysis
- Bayesian hierarchical models and applications in psychology research
- Bayesian hierarchical models for estimating nest survival
- Bayesian hierarchical models for hunting success rates
- Bayesian hierarchical models for the recognition-memory experiments
- Bayesian hierarchical models in nest survival studies
- Bayesian hierarchical spatio-temporal analysis of mortality rates with disease mapping
- Bayesian hierarchical spatio-temporal analysis of mortality rates with disease mapping
- Bayesian methods on selected topics
- Bayesian model selection using intrinsic priors for commonly used models in reliability and survival analysis
- Bayesian non-linear methods for survival analysis and structural equation models
- Bayesian semiparametric spatial and joint spatio-temporal modeling
- Bayesian smoothing spline analysis of variance models
- Bayesian smoothing spline models and their application in estimating yield curves
- Bayesian spatial analysis with application to the Missouri Ozark Forest ecosystem project
- Bayesian spatial data analysis with application to the Missouri Ozark forest ecosystem project
- Bayesian spatial models for adjusting nonresponse in small area estimation
- Bayesian spatial models for small area estimation
- Bayesian variable selection in parametric and semiparametric high dimensional survival analysis
- Classification of a set of distributions based on a normal characterization
- Comparing diagnostic methods in a medical study
- Comparison of k-Weibull populations under random censoring
- Compound Gibbs sampler for Bayesian hierarchical models applied to mortality rates
- Conditional properties of some interval estimators
- Consistency of restricted least squares estimators
- Constrained optimization in Hilbert space with applications to restricted cubic splines
- Design and regression software based on Katti's algorithm
- Development of two stage tests with medical applications
- Discrepancy-based model selection criteria using cross validation
- Discriminant analysis on remote sensing data to determine land use patterns
- Distribution free tests for comparing two multivariate populations relative to a one sided shaft alternative
- Distribution free tests for comparing two multivariate populations relative to a one sided shaft alternative
- Distribution results for certain tests based on ranks
- Efficient parameterization and estimation of spatio-temporal dynamic models
- Empirical likelihood approach estimation of structural equation models
- Estimates of school productivity and implications for policy
- Estimating population size with objective Bayesian methods
- Estimation of an exponential parameter from life test data
- Evidential approach to hypothesis testing
- Flexible Bayesian Hierarchical models for discrete-valued spatio-temporal data
- Frequentist and bayesian analyses of European consumer purchase intention towards genetically modified food
- Function estimation via wavelets in the presence of interval censoring
- Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty
- Hierarchical nonlinear, multivariate, and spatially-dependent time-frequency functional methods
- Hierarchical physical-statistical forecasting in the atmospheric sciences
- Hierarchical spatio-temporal models for ecological processes
- Hierarchical spatio-temporal models for environmental processes
- Identification problems in the exponential family
- Improving the Delta method for nonlinear functions
- Infinite divisibility and discrete distributions
- Large sample methods for analyzing longitudinal data in rehabilitation research
- Least square estimation and optimal design : langmuir and linear-exponential models
- Likelihood ratio tests for normal means constrained by two polyhedral cones
- Marginally modeling misaligned regions and handling masked failure causes with imprecision
- Markov chain Monte Carlo methods for estimating multidimensional ability in item response analysis
- Methods of model selection
- Model evaluation and variable selection for interval-censored data
- Model selection criteria based on Kullback information measures for Weibull, logistic, and nonlinear regression frameworks
- Model selection criteria based on Kullback information measures for Weibull, logistic, and nonlinear regression frameworks
- Modification of steepest descent method with applications to likelihood functions
- Multiple comparison techniques for order restricted models
- Multiple imputation approaches to regression analysis of interval-censored failure time data
- Noninformative priors for some models useful in reliability and survival analysis
- Nonlocal priors for Bayesian variable selection in generalized linear models and generalized linear mixed models and their applications in biology data
- Nonparametric analysis of covariance based on residuals
- Nonparametric analysis of interval-censored failure time data
- Nonparametric and semiparametric methods for interval-censored failure time data
- Nonparametric bayesian density estimation with intrinsic autoregressive priors
- Nonparametric maximum likelihood estimation of stochastically ordered survival functions
- Nonparametric treatment comparisons for interval-censored failure time data
- Nonproportional hazards regression models for survival analysis
- Objective Bayesian analysis of the 2 x 2 contingency table and the negative binomial distribution
- Objective Bayesian inference for stress-strength models and Bayesian ANOVA
- On multiple comparisons
- On tests of independence with life testing applications
- On the estimation of bath-tub shaped arrival rate of poisson processes
- On the reliablity of repairable systems
- One-sided multivariate tests
- Optimal design and parameter estimation for the Langmuir models
- Optimal design in and hazards of linearization of the model E(Y) = ax/(1+bx)
- Optimal designs for dose-finding in contingent response models
- Optimal designs for response functions with a downturn
- Optimal experimental design under a new multivariate Weibull regression function
- Order restricted inferences on parameters in generalized linear models with emphasis on logistic regression
- Parallel algorithms in statistical applications : order restrictions and bayesian inference
- Partially informative normal and partial spline models
- Power law process models for nonhomogeneous poisson process change-points
- Pricing risk for nonnormal processes and conditional higher-order moments
- Random set models for growth with applications to nowcasting
- Regression analysis of clustered interval-censored failure time data with informative cluster size
- Reliability of complex systems
- Risk assessment in toxicology and failure rate in reliability
- Sample size when the alternative is ordered and other multivariate results
- Scatter diagrams for data analysis using a characterization property
- Semi-parametric regression analysis of interval-censored failure time data
- Semiparametric analysis of failure time data with complex structures
- Semiparametric analysis of multivariate longitudinal data
- Semiparametric analysis of panel count data
- Semiparametric and nonparametric methods for the analysis of longitudinal data
- Semiparametric and nonparametric methods for the analysis of panel count data
- Semiparametric regression with random effects
- Semiparametric transformation models for panel count data
- Software reliability : statistical modeling, estimation and inference
- Some topics in wavelet shrinkage
- Some univariate and multivariate problems with applications in reliability theory
- Spatially adaptive priors for regression and spatial modeling
- Spatio-temporal models with time-varying spatial model error for environmental processes
- Statistical analysis for survival data with missing information
- Statistical analysis of bivariate interval-censored failure time data
- Statistical analysis of failure time data with missing information
- Statistical analysis of interval-censored and truncated survival data
- Statistical analysis of length-biased and right-censored data
- Statistical analysis of longitudinal data
- Statistical analysis of multivariate interval-censored failure time data
- Statistical analysis of multivariate interval-censored failure time data
- Statistical image analysis of photoactivated localization microscopy
- Statistical inference on the log-zero-poisson distribution
- Statistical models for limiting factors in ecology
- Stochastic model's of unreliable production lines with continuous materials flow
- Technological data analysis using the method of tested priors
- Testing for proportional hazards and model selection within the class of proportional hazards
- Tests for equality of populations with covariates for ordered alternatives
- The formal definition of reference priors under a general class of divergence
- The global political economy and national 'food power'
- The nonparametric analysis of interval-censored failure time data
- The use of nonhomogeneous poisson processes in the realiability of repairable systems
- Time series discrimination, signal comparison testing, and model selection in the state-space framework
- Time series discrimination, signal comparison testing, and model selection in the state-space framework
- Topics in bayesian estimation : frequentist risks and hierarchical models for time to pregnancy
- Topics in nonparmetric function estimation
- Topics in objective bayesian methodology and spatio-temporal models
- Towards a better understanding of Bayesian methods
- Two sample inference for high dimensional mean with application to gene expression data
- Two stage adaptive optimal design with applications to dose-finding clinical trials
- Two stage tests for distributions with monotone failure rates

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