STAT 245 Notes
1 Description
2 Linear Regression
3 Model Selection Using Information Criteria
4 Likelihood
5 PDFs and PMFs
6 Regression for Count Data
7 Model Averaging
8 Interactions
9 Binary Regression
10 Binary regression: Data with more than one trial per row
11 Collinearity and Multicollinearity
12 Zero-Inflation
13 Non-constant variance (and other unresolved problems)
14 Random Effects
15 GEEs
16 Correlation Structures
17 Other Model Selection Approaches
18 GAMs: Generalized Additive Models
References
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STAT 245 Course Notes

STAT 245 Course Notes

Stacy DeRuiter, Calvin University

2019-12-02

Chapter 1 Description

This is a set of course notes distributed in STAT 245 at Calvin University in Fall 2019. Contact sld33 at calvin.edu with comments, corrections or suggestions.