Ebooks: Home  >  Science & Nature  >  Mathematics  >  Introduction to Linear Regression Analysis
Introduction to Linear Regression Analysis
Click to zoom the image Introduction to Linear Regression Analysis
Publisher:John Wiley & Sons
Publication Date:2012-04-17
ISBN-10:0470542810
ISBN-13:9780470542811
Number of Pages:645 Pages
Book Type:hardcover
Weight:1256 gram
Books Dimensions:184 x 258 x 38 mm
Format of ebooks: PDF(Acrobat Reader) or Word version doc Document
Brief introduction of ebooks
Introduction to Linear Regression Analysis


* This Fifth Edition introduces and features the use of R and JMP software. SAS, S-Plus,and Minitabcontinue to be employed in this new edition, and the output from all of these packages can be found throughout the book.
Abstract
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 modelsRegression models with random effects in addition to a discussion on subsampling and the importance of the mixed modelTests on individual regression coefficients and subsets of coefficientsExamples 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.

Full Text Information
PDF Format Free Introduction to Linear Regression Analysis Ebooks Download Word Format Free Introduction to Linear Regression Analysis Ebooks Download
Download Introduction to Linear Regression Analysis  Free ebooks PDF
Introduction to Linear Regression Analysis Download Free eboks PDF
Comment
No.
Comment Content
User Name
Date
Post new Comment
UserName
Related Free Ebooks
Top Free Ebooks Download
New Ebooks Download