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Sep 27, 2024
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STAT 9230 - Nonparametric and Robust Statistical Methods
Prerequisites: STAT 8620 and STAT 9170
Non-parametric statistical methods, including rank-based methods for testing location and dispersion for one-, two-, and more than two-sample designs, as well as non-parametric measures of association; robust estimation methods, with emphasis on robust analogs of the mean, standard deviation, and third-moment skewness. Students will be introduced to non-parametric resampling techniques (bootstrapping and permutation methods), which will be used with robust estimation to test hypotheses. Extensive use of computer-intensive estimation and hypothesis testing procedures.
Grade Mode: Normal, Audit
Prerequisites: STAT8620 and STAT9170
Credit Hours: 3
Lecture Hours: 3
College Restrictions: The Graduate School Level Restrictions: Graduate Semester
Click here for the Schedule of Classes.
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