Applied Regression Analysis and Generalized Linear Models - 3rd Edition by John Fox (Hardcover)
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<p/><br></br><p><b> About the Book </b></p></br></br><p>Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the <strong>Third Edition</strong> of <strong>Applied Regression Analysis and Generalized Linear Models </strong>provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, this <strong>Third Edition </strong>includes new chapters on mixed-effects models for hierarchical and longitudinal data. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material in optional sections and chapters throughout the book.</p><p/><br></br><p><b> Book Synopsis </b></p></br></br><p>Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the <strong>Third Edition</strong> of <strong>Applied Regression Analysis and Generalized Linear Models </strong>provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, this <strong>Third Edition </strong>includes new chapters on mixed-effects models for hierarchical and longitudinal data. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material in optional sections and chapters throughout the book.</p><p/><br></br><p><b> Review Quotes </b></p></br></br><br><strong>PRAISE FOR THE PREVIOUS EDITIONS<br/> </strong> <p>[T]his <strong>wonderfully comprehensive</strong> book focuses on regression analysis and linear models... We enthusiastically recommend this book--having used it in class, we know that it is thorough and well-liked by students.</p> <strong><br/> <br/> </strong>--Chance (review of the first edition)<br><br>I have enjoyed using previous editions of this text and look forward to using this edition. It covers all key topics, and quite a few advanced ones, in one well-written text.--Michael S. Lynch, University of Georgia<br><br>The strength of this text is the unified presentation of several regression topics that provides the student with a global perspective on regression analysis. The student is well served with this unified approach as it facilitates deeper research on any one topic with more advanced texts.--E. C. Hedberg, Arizona State University<br><br>This text is a one-stop shop for me for my first year stats sequence for students in our program. Those wanting the technical detail will be satisfied; those wanting an excellent explanation of these methods using real-world examples and approachable language will also be satisfied.--Corey S. Sparks, The University of Texas at San Antonio<br>
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