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Introduction To Linear Regression Analysis

Regression Analysis
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 1118627369
Size: 46.60 MB
Format: PDF, ePub
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Praise for the Fourth Edition "As with previous editions, the authors have produced a leadingtextbook on regression." —Journal of the American Statistical Association A comprehensive and up-to-date introduction to thefundamentals of regression analysis Introduction to Linear Regression Analysis, Fifth Editioncontinues to present both the conventional and less common uses oflinear regression in today’s cutting-edge scientificresearch. The authors blend both theory and application to equipreaders with an understanding of the basic principles needed toapply regression model-building techniques in various fields ofstudy, including engineering, management, and the healthsciences. Following a general introduction to regression modeling,including typical applications, a host of technical tools areoutlined such as basic inference procedures, introductory aspectsof model adequacy checking, and polynomial regression models andtheir variations. The book then discusses how transformations andweighted least squares can be used to resolve problems of modelinadequacy and also how to deal with influential observations. TheFifth Edition features numerous newly added topics,including: A chapter on regression analysis of time series data thatpresents the Durbin-Watson test and other techniques for detectingautocorrelation as well as parameter estimation in time seriesregression models Regression models with random effects in addition to adiscussion on subsampling and the importance of the mixedmodel Tests on individual regression coefficients and subsets ofcoefficients Examples of current uses of simple linear regression models andthe use of multiple regression models for understanding patientsatisfaction data. In addition to Minitab, SAS, and S-PLUS, the authors haveincorporated JMP and the freely available R software to illustratethe discussed techniques and procedures in this new edition.Numerous exercises have been added throughout, allowing readers totest their understanding of the material. Introduction to Linear Regression Analysis, Fifth Editionis an excellent book for statistics and engineering courses onregression at the upper-undergraduate and graduate levels. The bookalso serves as a valuable, robust resource for professionals in thefields of engineering, life and biological sciences, and the socialsciences.
Introduction to Linear Regression Analysis
Language: en
Pages: 672
Authors: Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
Categories: Mathematics
Type: BOOK - Published: 2013-06-06 - Publisher: John Wiley & Sons
Praise for the Fourth Edition "As with previous editions, the authors have produced a leadingtextbook on regression." —Journal of the American Statistical Association A comprehensive and up-to-date introduction to thefundamentals of regression analysis Introduction to Linear Regression Analysis, Fifth Editioncontinues to present both the conventional and less common uses oflinear
Applied Regression Analysis
Language: en
Pages: 736
Authors: Norman R. Draper, Harry Smith
Categories: Mathematics
Type: BOOK - Published: 1998-04-23 - Publisher: John Wiley & Sons
An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to
Introduction to Regression Analysis
Language: en
Pages: 436
Authors: Michael A. Golberg, Hokwon A. Cho
Categories: Mathematics
Type: BOOK - Published: 2004 - Publisher: Wit Pr/Computational Mechanics
Regression analysis has been one of the most widely used statistical methodologies for analyzing relationships among variables during the past fifty years. Due to its flexibility, usefulness, applicability, theoretical and technical succinctness, it has become a basic statistical tool for solving problems in the real world.In order to apply regression
Regression Analysis and Linear Models
Language: en
Pages: 661
Authors: Richard B. Darlington, Andrew F. Hayes
Categories: Social Science
Type: BOOK - Published: 2016-09-27 - Publisher: Guilford Publications
Ephasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression
INTRODUCTION TO LINEAR REGRESSION ANALYSIS, 3RD ED
Language: en
Pages: 672
Authors: Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
Categories: Regression analysis
Type: BOOK - Published: 2006-01-01 - Publisher:
Market_Desc: · Practitioners in diverse fields, including engineers, who use regression analysis techniques Special Features: A revised and updated edition of a book with a solid reputation for its excellent treatment of the theory and applications of linear regression analysis, integrating standard topics with some of the newer and less
Understanding Regression Analysis
Language: en
Pages: 120
Authors: Larry D. Schroeder, David L. Sjoquist, Paula E. Stephan
Categories: Social Science
Type: BOOK - Published: 2016-11-08 - Publisher: SAGE Publications
Understanding Regression Analysis: An Introductory Guide by Larry D. Schroeder, David L. Sjoquist, and Paula E. Stephan presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style. It illustrates how regression coefficients are estimated, interpreted, and used in a variety of settings
Regression Analysis
Language: en
Pages: 347
Authors: Ashish K. Sen, Muni S. Srivastava
Categories: Mathematics
Type: BOOK - Published: 1990 - Publisher: Springer
Any method of fitting equations to data may be called regression. Such equations are valuable for at least two purposes: making predictions and judging the strength of relationships. Because they provide a way of em pirically identifying how a variable is affected by other variables, regression methods have become essential
Regression Analysis
Language: en
Pages: 352
Authors: Jim Frost
Categories: Mathematics
Type: BOOK - Published: 2019-03-07 - Publisher: Statistics By Jim Publishing
Intuitively understand regression analysis by focusing on concepts and graphs rather than equations and formulas. I use everyday language so you can grasp regression at a deeper level. Progress from a beginner to a skilled practitioner. Learn practical tips for performing your analysis and interpreting the results. Feel confident that
Regression Analysis
Language: en
Pages: 348
Authors: Ashish Sen, Muni Srivastava
Categories: Psychology
Type: BOOK - Published: 1997-04-01 - Publisher: Springer Science & Business Media
An up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis, and thus ideally suited for those interested in the theory as well as those whose interests lie primarily with applications. It is further enhanced through real-life examples drawn from many disciplines, showing the difficulties typically
Regression Analysis
Language: en
Pages: 459
Authors: Rudolf Jakob Freund, William J. Wilson, Ping Sa
Categories: Mathematics
Type: BOOK - Published: 2006 - Publisher: Academic Press
The book provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be performed in a given situation,