Introduction to Linear Regression Analysis (Wiley Series in Probability and Statistics)

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9780470542811: Introduction to Linear Regression Analysis (Wiley Series in Probability and Statistics)
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The book can be used for statistics and engineering courses on regression at the upper-undergraduate and graduate levels. It also serves as a resource for professionals in the fields of engineering, life and biological sciences, and the social sciences. (Zentralblatt MATH, 1 October 2013)

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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.

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Montgomery, Douglas C.;Peck, Elizabeth A.;Vining, G. Geoffrey
Editorial: John Wiley & Sons Inc. (2011)
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Descripción John Wiley & Sons Inc., 2011. Hardcover. Estado de conservación: New. book Condition: Brand New. Hardcover. Fast shipping and ship within 48 hours by UPS/DHL global express service to any US destination within 3-5 business days. We do not ship to Po Box, APO and FPO address. Nº de ref. de la librería 003007

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Descripción Wiley, 2012. Softcover. Estado de conservación: New. ***International Edition***Soft cover/Paperback*** Textbook printed in English. ***Brand New***. Most international edition has different ISBN and Cover design. Some book may show sales disclaimer such as "Not for Sale or Restricted in US" on the cover page but it is absolutely legal to use. All textbook arrives within 5-7business days. Please provides valid phone number with your order for easy delivery. Nº de ref. de la librería 9780470542811

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Descripción John Wiley and Sons Ltd, United States, 2012. Hardback. Estado de conservación: New. 5th Revised edition. 256 x 182 mm. Language: English . Brand New Book. 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. 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. Nº de ref. de la librería AAB9780470542811

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Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
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Descripción John Wiley and Sons Ltd, United States, 2012. Hardback. Estado de conservación: New. 5th Revised edition. 256 x 182 mm. Language: English . Brand New Book. 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. 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. Nº de ref. de la librería AAB9780470542811

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Montgomery, Douglas C.;Peck, Elizabeth A.;Vining, G. Geoffrey
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Descripción John Wiley & Sons Inc., 2011. Hardcover. Estado de conservación: New. Ship out 1-2 business day,Brand new,US edition, Free tracking number usually 2-4 biz days delivery to worldwide Same shipping fee with US, Canada,Europe country, Australia, item will ship out from either LA or Asia. Nº de ref. de la librería ABE-12256569682

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