PSTAT 220A: ADV STAT METHODS

University of California, Santa Barbara

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.

Average GPA: 3.64

Instructors

Still loading. This can take a moment on a slow connection.

Loading My Class Grades