Statistics Courses
4001L Statistics Laboratory
Emphasis on use of integrated statistical packages to complement statistical methodology being concurrently in STAT 4003.
Corequisite: STAT 4003.
4003 Statistical Methods
Concepts of probability, sampling, regression, and experimental design. Prerequisite: MATH 2554, or STAT 2023 or equivalent.
Corequisite: STAT 4001L. (Graduate credit for non-majors only.)
4033 Nonparametric Statistical Methods
Chi square tests, Kolmogorov-Smirnov goodness-of-fit tests, the Mann-Whitney and Wilcoxon two-sample tests, and various nonparametric measures of association.
Prerequisites: MATH 1203 and junior standing.
4043 Sampling Techniques
Considers optimum techniques of simple random, stratified random, cluster, systematic and multistage sampling from finite populations subject to cost precision constraints. Wide range of applications.
Prerequisite: STAT 4003.
4373 Experimental Design
Topics in design and analysis of planned experiments including randomized block, Latin square, split plot, and BIB designs, use of fractional factorial replication, and repeated measures.
Prerequisite: STAT 4003.
5103 Theory of Statistics
Fundamentals of probability, distribution theory, and random variables; expected value, moments and generating functions; classic parametric families of distributions; central limit theorems, inequalities, and laws of large numbers.
Prerequisite: MATH 2574.
5113 Statistical Inference
Statistical theory of estimation and testing hypotheses.
Prerequisite: STAT 5103.
5313 Regression Analysis I
Matrix formulation of least squares and multiple regression models. Estimability and use of the generalized inverse in analysis of variance and covariance models of less than full rank. Computational aspects are emphasized.
5322 Statistical Packages
Emphasis on use of the digital computer to perform statistical data analysis through use of integrated statistical packages. Instruction includes use of the SAS, SPSS, and BMD packages. Data management operations as well as formal statistical procedures such as ANOVA and regression are considered.
Prerequisite: 3 hours of statistics.
5333 Analysis of Categorical Responses
A modern treatment, including extensions of classical probit analysis, multivariate logistic models, GSK model, loglinear models in analysis of multiway contingency tables, and nonmetric multidimensional scaling.
5343 Stochastic Processes
Markov chains, branching processes, birth-death processes, queuing theory with applications.
Prerequisite: STAT 5103.
5353 Methods of Multivariate Analysis II
Hotelling's T2 procedures, multivariate analysis of variance, discriminant function analysis in problems of classification, multidimensional scaling, and cluster analysis.
Prerequisite: STAT 5313.
5383 Time Series Analysis
Identification, estimation and forecasting of time series. Spectral analysis including the fast Fourier transform. Computational aspects are emphasized.
Prerequisite: STAT 5103.
5413 Spatial Statistics
Applied spatial statistics, covering univariate spatial modeling (kriging), multivariate spatial modeling (cokriging), methods of estimation and inference, and spatial sampling designs. Special relevance to remote sensing.
Prerequisite: STAT 5313.
610V Research in Statistics (Irregular)
Prerequisite: graduate standing.
639V Topics in Statistics
Current state of the art or methodology in one of the topics: Multivariate Analysis, Time Series Analysis, Sequential Analysis, Factor Analysis or Biostatistics. May be repeated for credit.