Applied Linear Regression 3rd Edition Sanford Weisberg by Sanford Weisberg 9780471663799, 0471663794, B00E2895RK instant download after payment.

Applied Linear Regression, Third Edition has been thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, the Third Edition stresses the use of graphical methods in an effort to find appropriate models and to better understand them. In that spirit, most analyses and homework problems use graphs for the discovery of structure as well as for the summarization of results.
The Third Edition incorporates new material reflecting the latest advances, including

Use of smoothers to summarize a scatterplot
Box-Cox and graphical methods for selecting transformations
Use of the delta method for inference about complex combinations of parameters
Computationally intensive methods and simulation, including the bootstrap method
Expanded chapters on nonlinear and logistic regression
Completely revised chapters on multiple regression, diagnostics, and generalizations of regression
Readers will also find helpful pedagogical tools and learning aids, including

More than 100 exercises, most based on interesting real-world data
Web primers demonstrating how to use standard statistical packages, including R, S-Plus®, SPSS®, SAS®, and JMP®, to work all the examples and exercises in the text
A free online library for R and S-Plus that makes the methods discussed in the book easy to use
With its focus on graphical methods and analysis, coupled with many practical examples and exercises, this is an excellent textbook for upper-level undergraduates and graduate students, who will quickly learn how to use linear regression analysis techniques to solve and gain insight into real-life problems.