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Course Criteria
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3.00 Credits
Course Level: Undergraduate/Graduate Chi-square tests, contingency tables (2 X 2, r X c, and multidimensional), loglinear models, and other special models. Usually offered alternate springs (even years). Prerequisite: STAT-302 or STAT-514 or equivalent.
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3.00 Credits
Course Level: Undergraduate/Graduate An introduction to the theory of time-dependent data. The analysis includes modeling, estimation, and testing; alternating between the time domain; using autoregressive and moving average models and the frequency domain; and using spectral analysis. Usually offered alternate springs (odd years). Prerequisite: STAT-515 or STAT-520 or permission of instructor.
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3.00 Credits
Course Level: Undergraduate/Graduate An introduction to exploratory data analysis, including resistant or robust techniques, study of residuals, transformations, graphical displays, and related topics. Usually offered every fall. Prerequisite: STAT-515 or STAT-520 or equivalent.
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3.00 Credits
Course Level: Undergraduate/Graduate Introduction to the use of the SAS language to prepare, modify, and analyze data, interpret output and final preparation of results. Emphasis on practical programming principles and use of built-in procedures in both personal computer and main frame environments. Comparisons with other programming languages. Usually offered every fall. Prerequisite: STAT-514 or two statistics courses, or permission of instructor.
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3.00 Credits
Course Level: Undergraduate/Graduate Distribution and functions of random variables, generating functions, order statistics, point estimation, maximum likelihood, confidence intervals, tests of hypotheses (Neyman-Pearson, likelihood ratio, etc.), linear regression, and analysis of variance. Usually offered every fall. Prerequisite: MATH-223, STAT-502 or equivalent, and MATH-310.
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3.00 Credits
Course Level: Undergraduate/Graduate Distribution and functions of random variables, generating functions, order statistics, point estimation, maximum likelihood, confidence intervals, tests of hypotheses (Neyman-Pearson, likelihood ratio, etc.), linear regression, and analysis of variance. Usually offered every spring. Prerequisite: MATH-313, STAT-502 or equivalent, and MATH-310.
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3.00 Credits
Course Level: Undergraduate/Graduate Introduction to random walks, Markov chains and processes, Poisson processes, recurrent events, birth and death processes, and related subjects. Usually offered alternate springs. Prerequisite: MATH-501 or STAT-530.
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1.00 - 6.00 Credits
Course Level: Undergraduate/Graduate Prerequisite: permission of instructor and department chair.
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3.00 Credits
Course Level: Undergraduate/Graduate
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1.00 - 6.00 Credits
Course Level: Undergraduate/Graduate Topics vary by section, may be repeated for credit with different topic.
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