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Introduction to Linear Regression Analysis

 
 
 
 
Introduction to Linear Regression Analysis
Author: Douglas C. Montgomery - Elizabeth A. Peck - G. Geo
ISBN 13: 9780471754954
ISBN 10: 471754951
Edition: 4
Publisher: Wiley-Interscience
Publication Date: 2006-07-21
Format: Hardcover
Pages: 640
List Price: $150.00
 
 

Clearly balancing theory with applications, this book describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. Beginning with a general introduction to regression modeling, including typical applications, the book then outlines a host of technical tools that form the linear regression analytical arsenal, including: basic inference procedures and introductory aspects of model adequacy checking; how transformations and weighted least squares can be used to resolve problems of model inadequacy; how to deal with influential observations; and polynomial regression models and their variations. The book also includes material on regression models with autocorrelated errors, bootstrapping regression estimates, classification and regression trees, and regression model validation.

SciTech Book

...[the authors] describe conventional uses of the technique, as well as less common ones, placing linear regression in the practical context of today's mathematical and scientific research.