Statistics (STAT) Graduate Course Descriptions
STAT 511. Statistics and Probability for Teachers.
Descriptive statistics, exploratory data analysis, probability, sampling, simulation, random variables, sampling distributions, confidence intervals, hypothesis testing; use of statistical software. Prereq.: MATH 222. 3 credits F.
STAT 517. Applied Probability and Simulation.
Probability distributions and random variables, simulation of random variates, probability modeling, applications to Markov chains, queuing models, reliability and survival; use of software. Prereq.: One programming course and MATH 211 or equivalent. 3 credits F, S.
STAT 518. Advanced SAS Programming
Mechanics of Macro Processing, Macro variables, Macro programs, Macro Programming Language elements and techniques, storage and reuse of macros, interfaces to Macro facility. General overview of the SQL procedure. Applications to data query, retrieval, and sundry manipulation. Prereq.: 304 or equivalent. 3 credits F.
STAT 521. Regression and Analysis of Variance II.
Model checking and diagnostics in regression, model building including stepwise regression procedures, full vs. reduced model formulas; analysis of covariance, comparing the various multiple comparison procedures, unbalanced designs, random effect models, variance-stabilizing transformations, three-way anova; use of statistical software. Prereq.: 321 or equivalent. Coreq.: 304 3 credits S.
STAT 524. Statistical Designs for Process Improvement.
A study of statistically designed experiments which have proven useful in product development and process improvement; topics include randomization, blocking, factorial treatment structures, fractional factorial designs, screening designs, Taguchi methods, response surface methods; use of statistical software. Prereq.: 321 or consent. Coreq.: 304. 3 credits DEMAND.
STAT 527. Applied Time Series.
A study of the most useful techniques of analysis and forecasting using time series data. Topics include an introduction to forecasting, time series regression, decomposition methods, smoothing, smoothing techniques, basic techniques of Box-Jenkins methodology; use of statistical software. Prereq.: 321 or equivalent. Coreq.: 304. 3 credits DEMAND.
STAT 530. Multivariate Statistical Methods.
Principal component analysis, factor analysis, discriminant analysis, cluster analysis, manova, profile analysis, repeated measures; applications and use of statistical software. Prereq.: 321 or equivalent. Coreq.: 304. 3 credits DEMAND.
STAT 533. Nonparametric Statistics.
Efficiency comparison of mean and median, one and two sample location problems, effect of alternative score functions, randomization and permutation tests, the independence problem, and selected problems in regression. Use of statistical software. Prereq.: 321 or equivalent. Coreq.: 304. 3 credits DEMAND.
STAT 536. Applied Categorical Data Analysis.
Introduction to the analysis of discrete data; log-linear models for two-way and multi-way tables; linear logistics regression models; association models and models of symmetry; applications, use of statistical software. Prereq.: 321 or equivalent. Coreq.: 304. 3 credits DEMAND.
STAT 540. Topics in Statistics.
Study of modern topics in theoretical or applied statistics. May be repeated to a maximum of six credits. Prereq.: Permission of instructor. 3 credits S.
STAT 547. Basic Elements of Probability Theory.
A more mathematical treatment of probability distributions than STAT 417. Probability concepts and laws; sample spaces, combinations and permutations, Bayes' theorem, discrete and continuous random variables, expected value, distribution of functions of random variables, two-dimensional variates, central limit theorem; T, F, and chi-square distributions. Prereq.: MATH 222. Coreq.: MATH 321. 3 credits F.
STAT 548. Basic Elements of Statistical Theory.
Theory of estimation and hypothesis testing; maximum likelihood, method of moments, likelihood ratio tests; elementary mathematical functions illustrate theory. Prereq.: 447/547. 3 credits S.
STAT 552. Computational Statistical Data Analysis
Computationally intensive statistics often used in modern data analysis: Monte Carlo Methods, cross validation, non-parametric regression, clustering and classification, data visualization and diagnostics. Prereq.: 321 and 417/517 or 447/547; or consent of instructor. 3 credits S.
Statistics (STAT) Courses for Graduate Students Only
STAT 617. Statistical Theory
Probability and univariate distributions, binomial, Poisson, gamma, normal distributions, multivariate distributions, distributions of functions of random variables, limiting distributions, significance tests, estimation. Prereq.: consent of instructor. 3 credits F.
STAT 618. Survival Analysis
Estimation of survival probabilities, families of two-sample rank tests, distribution functions for failure times. Cox regression model, proportional hazards model, graphical and other methods for assessing model adequacy, Poisson regression models, competing risks, meta-analysis. Prereq.: 321 or equivalent. 3 credits S.
STAT 619. Generalized Linear Models
Likelihood theory, exponential families, model specification, model checking and diagnostics, logistic and ordinal regression. Log linear models, gamma regression models, generalized estimating equations, and generalized linear mixed models. Prereq.: 321 or equivalent 3 credits F.
STAT 620. Bayesian Data Analysis
Prior distributions, Bayesian statistical models, parameter estimation, Markov Chain Monte Carlo, hierarchical models, model checking, hierarchical regression. Prereq.: 548 or 617 or consent of instructor. 3 credits DEMAND.
STAT 621. Design and Analysis of Experiments
Review of fundamentals of Experimental Design. Randomized complete and incomplete block designs. Latin squares and rectangles, Graeco-Latin Squares designs Designs for cross-over trials. Cyclic, alpha and lattice designs. Incomplete block designs with factorial treatments. Confounding. Fractional replication in factorial designs. Prereq.: 521. 3 credits DEMAND.
STAT 649. Statistical Consulting
Provide statistical consulting for clients from other departments. Assist client in design of experiment, summarization of data, data analysis and interpretation of results. Prereq.: 518 and 521, or consent of instructor. 2 credits F, S.
STAT 650. Statistics Seminar
Student presentations of current research in applied statistics. Prereq.: Graduate standing and consent of instructor. 1 credit S.
STAT 699. Thesis in Statistics
May be repeated. Prereq.: Prerequisite: Graduate standing in statistics and consent of the studentís committee. 2-6 credits F, S, SUM.