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.
Details
- Department: Statistics (STAT)
- Units: 4
- Prerequisites: STAT 102 or STAT 135, STAT 133
- Tools:
- Cluster(s): Mathematics/Statistics
- Tags: Applied