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Course Criteria
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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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3.00 Credits
Introduction to analysis of contingency tables. Topics include: Log-linear and related modeling procedures; measures of association, sensitivity, and agreement; goodness of fit; partitioning Chi-square; collapsing multidimensional tables; sampling models for discrete data. Prerequisite: STA 462/562 or permission of instructor.
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3.00 Credits
Introduction to statistical techniques used in biostatistics focusing on analysis of survival and lifetime data. Topics include nonparametric and parametric methods for estimation and comparison of survival distributions. Additional material chosen from clinical trials design and analysis, dose-response models, and risk estimation models. Prerequisite: STA 462/562 or permission of instructor.
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3.00 Credits
Introduction to theory and application of statistical procedures used in industry. Topics include quality control, control charts, acceptance sampling, process optimization techniques, evolutionary operations, response surface methodology, canonical and ridge analysis, method of steepest ascent, and first and second order models. Prerequisite: STA 463/563 or permission of instructor.
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1.00 Credits
Required of all newly appointed graduate assistants. Deals with practical problems encountered in teaching algebra, trigonometry, statistics, and calculus. Credit does not count toward a graduate degree in mathematics or statistics. Offered on credit/no-credit basis only. Prerequisite: graduate standing and teaching responsibilities in mathematics or statistics. Summer only.
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