Regression analysis is a fundamental statistical method used to understand the relationship between variables. Below is a curated list of books that delve into the topic of regression analysis, written in English.
Books on Regression Analysis
"An Introduction to Statistical Learning: With Applications in R" by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani This book provides an excellent introduction to statistical learning methods, including regression analysis. It is well-suited for readers with a background in statistics and machine learning.
"The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman A comprehensive and rigorous treatment of statistical learning theory, this book covers a wide range of topics, including regression analysis. It is a must-read for anyone serious about learning about statistical learning.
"Applied Linear Regression" by John Neter, William Wasserman, and Michael H. Kutner This book focuses on the practical aspects of linear regression analysis, making it a valuable resource for practitioners.
"Regression Analysis by Example" by John Fox and James Monahan This book provides a practical introduction to regression analysis, with a focus on examples and real-world data.
Resources on Regression Analysis
For further reading and resources on regression analysis, you can visit the following links: