Graphical methods for exploratory, analysis, and summarization phases enhance data interpretation
In-depth coverage of parameter estimates in simple and complex models supports advanced statistical understanding
Updated material on testing, ANOVA, and variance assumptions adapts to modern statistical practices
Newly added sections on cross-validation, bootstrapping, binomial and Poisson regression expand methodological scope
Real-world exercises and examples stress central concepts for practical application
Summarized by Shop
Wiley Series in Probability and Statistics Applied Linear Regression Sanford Weisberg Mathematics / Probability & Statistics / Regression Analysis Praise for the Third Edition "...this is an excellent book which could easily be used as a course text..." —International Statistical Institute The Fourth Edition of Applied Linear Regression