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STAT 571A/MATH 571A -- Advanced Statistical Regression Analysis
Description: Regression analysis including simple linear regression and multiple linear regression. Matrix formulation and analysis of variance for regression models. Residual analysis, transformations, regression diagnostics, multicollinearity, variable selection techniques, and response surfaces. Students will be expected to utilize standard statistical software packages for computational purposes.
Prerequisite(s): MATH 410, or MATH 413, or equivalent; and MATH 466, or equivalent.
This course in Advanced Statistical Regression Analysis studies regression methodology of statistical analysis at an advanced graduate level. It is targeted to provide graduate students in statistics, biostatistics, mathematics, and related disciplines with an in-depth course of study in regression models and associated data analyses; to explore advanced regression topics, including regression diagnostics and simultaneous inferences; to instruct students in statistical computing packages, such as SAS and R; and to cover other miscellaneous topics in regression analysis.
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