Xin Yan, Xiao Gang Su, "Linear Regression Analysis: Theory and Computing"

This volume presents in detail the fundamentaltheories of linear regression analysis and diagnosis, as well as therelevant statistical computing techniques so that readers are able toactually model the data using the methods and techniques described inthe book. It covers the fundamental theories in linear regressionanalysis and is extremely useful for future research in this area. Theexamples of regression analysis using the Statistical ApplicationSystem (SAS) are also included. This book is suitable for graduatestudents who are either majoring in statistics/biostatistics or usinglinear regression analysis substantially in their subject fields.

# Introduction
# Simple Linear Regression
# Multiple Linear Regression
# Detection of Outliers and Influential Observations in Multiple Linear Regression
# Model Selection
# Model Diagnostics
# Extensions of Least Squares
# Generalized Linear Models
# Bayesian Linear Regression