Linear Modelling: Theory and Applications
UC Berkeley
Offerings
Overview
A coordinated treatment of linear and generalized linear models and their application. Linear regression, analysis of variance and covariance, random effects, design and analysis of experiments, quality improvement, log-linear models for discrete multivariate data, model selection, robustness, graphical techniques, productive use of computers, in-depth case studies.
Prerequisites
While we are working to make this class widely accessible, we currently require the following (or equivalent) prerequisites:
Stat 102 or Stat 135
Stat 133: recommended