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STAT 386 - Nonparametric Statistical Methods |
Nonparametric statistics for data analysis including rank-based methods, bootstrap methods, and permutation tests; one-sample and two-sample methods; paired comparisons and blocked designs; tests for trends and association; smoothing methods and robust model fitting.
***Prerequisite: STAT 252 and CS 110.***
0.000 OR 3.000 Credit hours 0.000 OR 3.000 Lecture hours 0.000 OR 1.000 Lab hours Levels: Undergraduate Schedule Types: Lecture, Lab, Examination Mathematics & Statistics Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate |
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