A comprehensive and thoroughly up-to-date look at regression analysis-still the most widely used technique in statistics today As basic to statistics as the Pythagorean theorem is to geometry, regression analysis is a statistical technique for investigating and modeling the relationship between variables. With far-reaching applications in almost every field, regression analysis is used in engineering, the physical and chemical sciences, economics, management, life and biological sciences, and the social sciences. Clearly balancing theory with applications, Introduction to Linear Regression Analysis describes 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. 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. Succeeding chapters include detailed coverage of: * Indicator variables, making the connection between regression and analysis-of-variance modelss * Variable selection and model-building techniques * The multicollinearity problem, including its sources, harmful effects, diagnostics, and remedial measures * Robust regression techniques, including M-estimators, Least Median of Squares, and S-estimation * Generalized linear models The book also includes material on regression models with autocorrelated errors, bootstrapping regression estimates, classification and regression trees, and regression model validation. Topics not usually found in a linear regression textbook, such as nonlinear regression and generalized linear models, yet critical to engineering students and professionals, have also been included. The new critical role of the computer in regression analysis is reflected in the book's expanded discussion of regression diagnostics, where major analytical procedures now available in contemporary software packages, such as SAS, Minitab, and S-Plus, are detailed. The Appendix now includes ample background material on the theory of linear models underlying regression analysis. Data sets from the book, extensive problem solutions, and software hints are available on the ftp site. For other Wiley books by Doug Montgomery, visit our website at www.wiley.com/college/montgomery.

Product Description: The Third Edition of this engineering management text retains the pedagogical strengths that made the previous editions so popular, including the use of real data in the examples. There is a new chapter on nonparametric statistics, a new section on p-values in hypothetical testing, new coverage of residual analysis, and more material on quality control and experiment design...read more (view table of contents, read Amazon.com's description)

Product Description: This practical, user-oriented second edition describes how to use statistical modeling and analysis methods for forecasting and prediction problems. Statistical and mathematical terms are introduced only as they are needed, and every effort has been made to keep the mathematical and statistical prerequisites to a minimum...read more

Product Description: This collection reports on recent developments and applications in statistical process control and statistical design of experiments, and discusses process capability, analysis and improvement. Providing approaches primarily for discrete manufacturing operations, the volume supplies practical techn...read more

Product Description: Now updated and revised From the reviews of the First Edition . . . "Truly a book that can be read by practitioners...Anyone who deals with designing experiments, the statistical analysis and modeling of data, and especially product or process improvement, including optimization, should have this book as a reference...read more (view table of contents, read Amazon.com's description)

Product Description: This work presents significant advances and new methods both in statistical process control and experimental design. It addresses the management of process monitoring and experimental design, discusses the relationship between control charting and hypothesis testing, provides a new index for process capability studies, offers practical guidelines for the design of experiments, and more...read more (view table of contents, read Amazon.com's description)

Product Description: This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of both product and nonproduct situations...read more

Product Description: A comprehensive and thoroughly up-to-date look at regression analysis-still the most widely used technique in statistics today As basic to statistics as the Pythagorean theorem is to geometry, regression analysis is a statistical technique for investigating and modeling the relationship between variables...read more

Product Description: Includes thorough treatment of logistic and Poisson regression. * Introduction to generalized estimating questions. * Numerous examples in fields ranging from biology and biopharmaceuticals to engineering and quality assurance. * Provides guidance in using widely available software to illustrate all aspects of model-fitting, inference, and diagnostic testing...read more (view table of contents, read Amazon.com's description)

(view table of contents)

(view table of contents)

Product Description: This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It's packed with unique problem sets that reflect realistic situations engineers will encounter in their working lives...read more

Product Description: Engineering Statistics, 3rd Edition, 2006 JustAsk! Edition

Product Description: This set includes the text Introduction to Linear Regression Analysis, 4th Edition by Dougla C. Montgomery, Elizabeth A. Peck and G. Geoffrey Vining and the Introduction to Linear Regression Analysis, Student Solutions Manual , 4th Edition.