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Course Criteria
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3.00 Credits
Topics selected from an area of statistics. Prerequisite: permission of instructor. Offered infrequently.
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3.00 Credits
Supervised practice in consulting and statistical data analysis including use of computer programs. Maximum of six hours may be applied toward a degree in mathematics or statistics. Offered credit/no-credit basis only. Prerequisite: STA 666.
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3.00 Credits
Random walks and ruin problems, branching processes, Markov chains, Poisson processes, birth and death processes, plus topics chosen from renewal theory, queuing theory, and Markov processes. Prerequisite: STA 401/501.
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3.00 Credits
Topics from distribution theory, theory of estimation, theory of tests of hypothesis. Prerequisite: None.
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3.00 Credits
The theory of linear models used in regression and experimental design. Topics will include: multivariate normal distributions, quadratic form theory, general linear model theory and inference for both full and less than full rank models, estimability and estimable functions. Prerequisite: STA 463/563.
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3.00 Credits
Study of multivariate normal distribution, estimation and tests of hypotheses for multivariate populations, principal components, factor analysis, discriminant analysis. Prerequisite: STA 462/562.
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3.00 Credits
Introduction to sampling theory and applications, with topics including simple random samples, sampling for proportions, systematic samples, stratified samples, cluster samples, regression and ratio estimation, and sampling errors. Prerequisite: STA 462/562 or permission of instructor.
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3.00 Credits
Introduction to theory and methods of nonparametric statistics including sign test, runs test, Mann Whitney test, asymptotic relative efficiency, etc. Prerequisite: STA 462/562.
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3.00 Credits
Service course. Descriptive statistics, probability models, sampling distributions, estimation, hypothesis testing, regression and correlation analysis, elements of experimental design, and analysis of variance. Prerequisite: graduate standing or permission of instructor.
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3.00 Credits
Intern experience for advanced graduate students in statistics while working for appropriate industry or agency. Students must have faculty sponsor for internship. Offered on credit/no-credit basis only. Prerequisite: STA 660 and approval of department chair.
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