Solutions Manual to accompany Introduction to Linear Regression Analysis: Edition 5

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As the Solutions Manual, this book is meant to accompany the main title, Introduction to Linear Regression Analysis, Fifth Edition. Clearly balancing theory with applications, this book describes both the conventional and less common uses of 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. The book also includes material on regression models with autocorrelated errors, bootstrapping regression estimates, classification and regression trees, and regression model validation.
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About the author

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).

All three coauthors have published extensively in both journals and books. Solutions prepared by ANN G. RYAN.
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Additional Information

Publisher
John Wiley & Sons
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Published on
Apr 23, 2013
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Pages
164
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ISBN
9781118548509
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Language
English
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Genres
Mathematics / Probability & Statistics / Regression Analysis
Mathematics / Probability & Statistics / Stochastic Processes
Technology & Engineering / Industrial Engineering
Technology & Engineering / Quality Control
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Content Protection
This content is DRM protected.
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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 modelsRegression models with random effects in addition to adiscussion on subsampling and the importance of the mixedmodelTests on individual regression coefficients and subsets ofcoefficientsExamples 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.

Praise for the Fourth Edition:

"This book is . . . an excellent source of examples forregression analysis. It has been and still is readily readable andunderstandable."

—Journal of the American StatisticalAssociation Regression analysis is a conceptually simplemethod for investigating relationships among variables. Carryingout a successful application of regression analysis, however,requires a balance of theoretical results, empirical rules, andsubjective judgment. Regression Analysis by Example, FifthEdition has been expanded and thoroughly updated to reflectrecent advances in the field. The emphasis continues to be onexploratory data analysis rather than statistical theory. The bookoffers in-depth treatment of regression diagnostics,transformation, multicollinearity, logistic regression, and robustregression.

The book now includes a new chapter on the detection andcorrection of multicollinearity, while also showcasing the use ofthe discussed methods on newly added data sets from the fields ofengineering, medicine, and business. The Fifth Edition alsoexplores additional topics, including:

Surrogate ridge regressionFitting nonlinear modelsErrors in variablesANOVA for designed experiments

Methods of regression analysis are clearly demonstrated, andexamples containing the types of irregularities commonlyencountered in the real world are provided. Each example isolatesone or two techniques and features detailed discussions, therequired assumptions, and the evaluated success of each technique.Additionally, methods described throughout the book can be carriedout with most of the currently available statistical softwarepackages, such as the software package R.

Regression Analysis by Example, Fifth Edition is suitablefor anyone with an understanding of elementary statistics.

Industrial Hydraulic Systems provides an in-depth coverage of conventional hydraulic systems encompassing fixed-displacement pumps, control valves, and actuators as well as the most modern hydraulic systems encompassing highly efficient variable-displacement pumps, electro-hydraulic proportional valves and/or servo valves with integrated electronics. The coverage is further supplemented by many typical hydraulic and electro-hydraulic circuits. Details of different types of auxiliary devices such as reservoirs, filters, accumulators, and piping have also been described in this book. Topics on hydrostatic transmission, cartridge valves, load sensing pump controls, fluids, filters, and seals are given in detail. Design, installation, and maintenance aspects of hydraulic systems are added to make the book more useful to actual practitioners of these systems. Understanding the fundamental laws and principles allows the reader to use basic theoretical concepts in practical applications. The unique feature of this textbook is that all quantities are given in the SI system as well as in the English system of units. This book provides an extensive coverage of fluid power to designers, engineers, technicians, and students of engineering colleges, polytechnics, and vocational training institutes. This book, prepared especially with an academic interest in mind, contains a large number of numerical examples, design problems, and sections for 'Test your Knowledge' and end of chapter questions. This book is intended to provide the most current information available on hydraulic technology.
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