Applied Linear Regression (Wiley Series in Probability and Statistics)

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 provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques, the Fourth Edition uses interesting, real-world exercises and examples.

Stressing central concepts such as model building, understanding parameters, assessing fit and reliability, and drawing conclusions, the new edition illustrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. While maintaining the accessible appeal of each previous edition,Applied Linear Regression, Fourth Edition features:

Graphical methods stressed in the initial exploratory phase, analysis phase, and summarization phase of an analysis
In-depth coverage of parameter estimates in both simple and complex models, transformations, and regression diagnostics
Newly added material on topics including testing, ANOVA, and variance assumptions
Updated methodology, such as bootstrapping, cross-validation binomial and Poisson regression, and modern model selection methods

Product Details

Series: Wiley Series in Probability and Statistics
Hardcover: 368 pages
Publisher: Wiley; 4 edition (December 16, 2013)
Language: English
ISBN-10: 1118386086
ISBN-13: 978-1118386088