Solutions Manual to accompany Modern Regression Methods, 2e

<p>”Over the years, I have had the opportunity to teach several regression courses, and I cannot think of a better undergraduate text than this one.”<br /><i>—<b>The American Statistician</b></i></p> <p>”The book is well written and has many exercises. It can serve as a very good textbook for scientists and engineers, with only basic statistics as a prerequisite. I also highly recommend it to practitioners who want to solve real-life prediction problems.” (<i>Computing Reviews</i>)</p> <p><i>Modern Regression Methods, Second Edition</i> maintains the accessible organization, breadth of coverage, and cutting-edge appeal that earned its predecessor the title of being one of the top five books for statisticians by an <i>Amstat News</i> book editor in 2003. This new edition has been updated and enhanced to include all-new information on the latest advances and research in the evolving field of regression analysis.</p> <p>The book provides a unique treatment of fundamental regression methods, such as diagnostics, transformations, robust regression, and ridge regression. Unifying key concepts and procedures, this new edition emphasizes applications to provide a more hands-on and comprehensive understanding of regression diagnostics. New features of the <i>Second Edition</i> include:</p> <ul> <li>A revised chapter on logistic regression, including improved methods of parameter estimation</li> <li>A new chapter focusing on additional topics of study in regression, including quantile regression, semiparametric regression, and Poisson regression</li> <li>A wealth of new and updated exercises with worked solutions</li> <li>An extensive FTP site complete with Minitab macros, which allow the reader to compute analyses, and specialized procedures</li> <li>Updated references at the end of each chapter that direct the reader to the appropriate resources for further study</li> </ul> <p>An accessible guide to state-of-the-art regression techniques, <i>Modern Regression Methods, Second Edition</i> is an excellent book for courses in regression analysis at the upper-undergraduate and graduate levels. It is also a valuable reference for practicing statisticians, engineers, and physical scientists.</p>