Statistics & Applied Probability - PSTAT

General linear models; regression; analysis of variance of fixed, random, and mixed effects models; analysis of covariance; and experimental design. Discussion of each technique includes graphical methods; estimation and inference; diagnostics; and model selection. Emphasis on application rather than theory. R/SAS Computation.

Prerequisites: PSTAT 120A-B-C, 122, 126, and Mathematics 108A or equivalents.


PSTAT 220A
0 / 40 Enrolled
Advanced Statistical Methods
Alexander Franks 4.6
T R
11:00 AM - 12:15 PM
68.0% A