STAT 450 (Regression and Variance Analysis)
| DESCRIPTION |
One, two, three and four-way layouts in analysis of variance,
fixed effects models, linear regression in several variables,
Gauss-Markov Theorem, multiple regression
analysis, experimental designs. |
| PREREQUISITES |
STAT 401 or STAT 420 |
| TOPICS |
Review of basic notions of Statistical Inference; e.g.
Hypothesis Testing
Least squares estimation and simple regression
Graphical tests of model assumptions
Multiple regression
Special models: polynomial regression and coding categorical predictors
Model selection techniques
Regression approach to analysis of variance
One factor and two factor designs |
| TEXT |
Text(s)
typically used in this course. |
|
