Introduction to Linear Regression Analysis by Douglas C. Montgomery
Look inside with Google Book Preview
Introduction to Linear Regression Analysis
By Douglas C. Montgomery

Introduction to Linear Regression Analysis

5th Revised edition


Checking availability...




Introduction to Linear Regression Analysis by Douglas C. Montgomery

Book Description

Praise for the Fourth Edition "As with previous editions, the authors have produced a leading textbook on regression." -- Journal of the American Statistical Association A comprehensive and up-to-date introduction to the fundamentals of regression analysis Introduction to Linear Regression Analysis, Fifth Edition continues to present both the conventional and less common uses of linear regression in today's cutting-edge scientific research. The authors blend both theory and application to equip readers with an understanding of the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences. Following a general introduction to regression modeling, including typical applications, a host of technical tools are outlined such as basic inference procedures, introductory aspects of model adequacy checking, and polynomial regression models and their variations. The book then discusses how transformations and weighted least squares can be used to resolve problems of model inadequacy and also how to deal with influential observations. The Fifth Edition features numerous newly added topics, including: A chapter on regression analysis of time series data that presents the Durbin-Watson test and other techniques for detecting autocorrelation as well as parameter estimation in time series regression models Regression models with random effects in addition to a discussion on subsampling and the importance of the mixed model Tests on individual regression coefficients and subsets of coefficients Examples of current uses of simple linear regression models and the use of multiple regression models for understanding patient satisfaction data. In addition to Minitab, SAS, and S-PLUS, the authors have incorporated JMP and the freely available R software to illustrate the discussed techniques and procedures in this new edition. Numerous exercises have been added throughout, allowing readers to test their understanding of the material, and a related FTP site features the presented data sets, extensive problem solutions, software hints, and PowerPoint slides to facilitate instructional use of the book. Introduction to Linear Regression Analysis, Fifth Edition is an excellent book for statistics and engineering courses on regression at the upper-undergraduate and graduate levels. The book also serves as a valuable, robust resource for professionals in the fields of engineering, life and biological sciences, and the social sciences.

Buy Introduction to Linear Regression Analysis book by Douglas C. Montgomery from Australia's Online Bookstore, Boomerang Books.


Book Details

ISBN: 9780470542811
ISBN-10: 0470542810
Classification: Probability & statistics
Format: Hardback (256mm x 183mm x 41mm)
Pages: 672
Imprint: Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)
Publisher: John Wiley and Sons Ltd
Publish Date: 27-Apr-2012
Country of Publication: United Kingdom

Other Editions...


You might also like...

Sage Handbook of Multilevel Modeling by Jeffrey S. Simonoff Sage Handbook of Multilevel Modeling by Jeffrey S. Simonoff

Leading contributors combine practical pieces with overviews of the state of the art in the field, making this handbook essential reading for any student or researcher looking to apply multilevel techniques in their own research

Developing Analytic Talent by Vincent Granville Developing Analytic Talent by Vincent Granville

Learn the skills needed for the most in-demand tech job Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals.

Statistics by Editors of Real Simple Magazine Statistics by Editors of Real Simple Magazine

Need help with Statistics? Want a quick review or refresher? This book can be used as a supplement to your school or college textbook or as a handy guide for anyone who needs a fast review of the subject. With comprehensive, yet concise coverage, it covers the material that students need to know about statistics.

Circular Statistics in R by Arthur Pewsey Circular Statistics in R by Arthur Pewsey

Measurements like mass, length and speed are "; but compass direction or the time of the year are ". Circular data have a repeating nature and an arbitrary zero: 12 months after the 1st of July it is the 1st of July again. This book explains how to easily and effectively analyse circular data statistically.

» View more books like these...

Reviews

» Have you read this book? We'd like to know what you think about it - write a review about Introduction to Linear Regression Analysis book by Douglas C. Montgomery and you'll earn 50c in Boomerang Bucks loyalty dollars (you must be a member - it's free to sign up!)

Write a book review


Author Biography - Douglas C. Montgomery

DOUGLAS C. MONTGOMERY , PhD, is Regents Professor of Industrial Engineering and Statistics at Arizona State University. Dr. Montgomery is a Fellow of the American Statistical Association, the American Society for Quality, the Royal Statistical Society, and the Institute of Industrial Engineers and has more than thirty years of academic and consulting experience. He has devoted his research to engineering statistics, specifically the design and analysis of experiments, statistical methods for process monitoring and optimization, and the analysis of time-oriented data. Dr. Montgomery is the coauthor of Generalized Linear Models: With Applications in Engineering and the Sciences , Second Edition and Introduction to Time Series Analysis and Forecasting , both published by Wiley. ELIZABETH A. PECK , PhD, is Logistics Modeling Specialist at the Coca-Cola Company in Atlanta, Georgia. G. GEOFFREY VINING , PhD, is Professor in the Department of Statistics at Virginia Polytechnic and State University. He has published extensively in his areas of research interest, which include experimental design and analysis for quality improvement, response surface methodology, and statistical process control. A Fellow of the American Statistical Association and the American Society for Quality, Dr. Vining is the coauthor of Generalized Linear Models: With Applications in Engineering and the Sciences , Second Edition (Wiley).

Boomerang Bucks close

For every $20 you spend on books, you will receive $1 in Boomerang Bucks loyalty dollars. You can use your Boomerang Bucks as a credit towards a future purchase from Boomerang Books. Note that you must be a Member (free to sign up) and that conditions do apply.

Recent books by Douglas C. Montgomery close
»
Recent books by Elizabeth A. Peck close
»
Recent books by G. Geoffrey Vining close
»
BoomerangBooks.com.au close