STAT 583: Empirical Methods for the Computational Sciences
(Dual-listed with STAT 483). (3-0) Cr. 3. F.
Prereq: STAT 330 or an equivalent course, MATH 166, knowledge of linear algebra.
Statistical methods for research involving computers; exploratory data analysis; selected topics from analysis of designed experiments - analysis of variance, hypothesis testing, interaction among variables; linear regression, logistic regression, Poisson regression; parameter estimation, prediction, confidence regions, dimension reduction techniques, model diagnostics and sensitivity analysis; Markov chains and processes; simulation techniques and bootstrap methods; applications to computer science, bioinformatics, computer engineering - programs, models and systems as objects of empirical study; communicating results of empirical studies. Statistical software: R. Credit for only one of STAT 430, STAT 483, or STAT 583 may be applied to graduation. May not be used for graduate credit in the Statistics MS and PhD degree programs.