Like its widely praised, best-selling companion version, Linear Models with R, this book replaces R with Python to seaml
1,274 213 4MB
English Pages 308 [309] Year 2020
Table of contents :
1.Introduction
2.Estimation
3.Inference
4.Prediction
5.Explanation
6.Diagnostics
7.Problems with the Predictors 8.Problems with the Errors
9.Transformation
10.Model Selection
11.Shrinkage Methods
12.Insurance Redlining —A Complete Example
13.Missing Data
14.Categorical Predictors
15.One Factor Models
16.Models with Several Factors 17.Experiments with Blocks
18.About Python