"This book is remarkable in its accessible treatment of interaction effects. Although this concept can be challenging for students (even those with some backgro

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp

In a conversational tone, Regression & Linear Modeling provides conceptual, user-friendly coverage of the generalized linear model (GLM). Readers will become fa

A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalize

Providing a thorough introduction to generalized linear models (GLM), exponential family distribution & maximum likelihood estimation, this book includes discus