References
Advanced Linear Models
Preface
1
Review of Introductory Inference
2
Data and Models
3
Measuring Association
4
Simple Linear Regression
5
Inference on the Regression Line
6
Residual Diagnostics
7
Transformations
8
Introduction to Multiple Regression
9
Variable Selection, Data Reduction, and Model Comparison
10
Outliers and Influential Observations
11
One-Way ANOVA
12
Multiple Comparisons
13
ANOVA Assumptions
14
Balanced (Uniform Sample Size) Two-Way ANOVA
15
Unbalanced Two-Factor Analysis of Variance
16
Generalized Linear Models
17
Logistic Regression Diagnostics and Model Selection
References
References
Balka, Jeremy. n.d.
“Making Statistics Make Sense.”
JB Statistics
.
https://www.jbstatistics.com/
.
17
Logistic Regression Diagnostics and Model Selection