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STAT 890AX - Computational Statistics |
A general introduction to computational methods in statistics including optimization, statistical estimation algorithms, bootstrapping/jackknife procedures, Monte Carlo sampling, generating random deviates, computation in the R programming language.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture, Independent Study, Directed Reading, Examination Mathematics & Statistics Department Restrictions: Must be enrolled in one of the following Levels: Graduate |
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