Introduction to Linear Regression Analysis

Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining - Collection Wiley Series in Probability and Statistics

612 pages, parution le 18/08/2006 (4^eme édition)

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Résumé

Clearly balancing theory with applications, Introduction to Linear Regression Analysis describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research.

L'auteur - Douglas C. Montgomery

Douglas C. Montgomery is the ASU Foundation Professor of Engineering at Arizona State University, Tempe. He is the author of 13 books and over 160 technical papers. He is a Fellow of the American Statistical Association and the American Society of Quality.

Sommaire

Preface
Introduction
Simple Linear Regression
Multiple Linear Regression
Model Adequacy Checking
Transformations and Weighting to Correct Model Inadequacies
Diagnostics for Leverage and Influence
Polynomial Regression Models
Indicator Variables
Variable Selection and Model Building
Validation of Regression Models
Multicollinearity
Robust Regression
Introduction to Nonlinear Regression
Generalized Linear Models
Other Topics in the Use of Regression Analysis
Appendix A: Statistical Tables
Appendix B: Data Sets For Exercises
Appendix C: Supplemental Technical Material
References
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
Collection	Wiley Series in Probability and Statistics
Parution	18/08/2006
Édition	4^eme édition
Nb. de pages	612
Format	18,5 x 26
Couverture	Relié
Poids	1237g
Intérieur	Noir et Blanc
EAN13	9780471754954
ISBN13	978-0-471-75495-4