Solutions Manual to accompany Introduction to Linear Regression Analysis by Mon,

Description: About this productProduct IdentifiersPublisherWiley & Sons, Incorporated, JohnISBN-101118471466ISBN-139781118471463eBay Product ID (ePID)143672957Product Key FeaturesNumber of Pages164 PagesLanguageEnglishPublication NameSolutions Manual to Accompany Introduction to Linear Regression AnalysisPublication Year2013SubjectIndustrial Engineering, Probability & Statistics / Regression Analysis, Quality ControlTypeStudent ManualAuthorG. Geoffrey Vining, Douglas C. Montgomery, Elizabeth A. PeckSubject AreaMathematics, Technology & EngineeringFormatTrade PaperbackDimensionsItem Height0.4 inItem Weight15.5 OzItem Length10.9 inItem Width8.5 inAdditional Product FeaturesEdition Number5Intended AudienceScholarly & ProfessionalDewey Edition21CLASSIFICATION_METADATA{"IsNonfiction":["No"],"IsOther":["No"],"IsAdult":["No"],"MuzeFormatDesc":["Trade Paperback"],"IsChildren":["No"],"Genre":["MATHEMATICS","TECHNOLOGY & ENGINEERING"],"Topic":["Quality Control","Industrial Engineering","Probability & Statistics / Regression Analysis"],"IsTextBook":["Yes"],"IsFiction":["No"]}IllustratedYesDewey Decimal519.5/36Table Of ContentPreface xiii 1. Introduction 1 2. Simple Linear Regression 13 3. Multiple Linear Regression 67 4. Model Adequacy Checking 131 5. Transformations and Weighting to Correct Model Inadequacies 173 6. Diagnostics for Leverage and Influence 207 7. Polynomial Regression Models 221 8. Indicator Variables 265 9. Variable Selection and Model Building 291 10. Multicollinearity 325 11. Robust Regression 382 12. Introduction to Nonlinear Regression 414 13. Generalized Linear Models 443 14. Other Topics in the Use of Regression Analysis 488 15. Validation of Regression Models 529 Appendix A. Statistical Tables 549 Appendix B. Data Sets For Exercises 567 Appendix C. Supplemental Technical Material 582 References 621 Index 637Edition DescriptionStudent ManualSynopsisAs 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., As the Solutions Manual , this book is meant to accompany the main title, Introduction to Linear Regression Analysis , Fifth Edition.LC Classification NumberQA278.2ebay_catalog_id4Copyright Date2013

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