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Statistical Computing

STAT 590 (3)

A detailed examination of essential statistical computing skills needed for research and industrial work. Students will use S-Plus, Matlab and SAS® to develop algorithms for solving a variety of statistical problems using resampling and simulation techniques such as the bootstrap, Monte Carlo methods and Markov chain methods for approximating probability distributions. Applications to linear and non-linear models will be stressed.

Prerequisite: 528

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Prerequisites / Corequisites

Advanced Data Analysis II - STAT 528 / 428

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