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2024 Fall
Dec 08, 2024
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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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Release: 8.7.2.4