Applied Regression Analysis and Generalized Linear Models 3rd Revised edition

Fox presents students, academics, researchers, and general-interest readers with the third edition of his comprehensive examination of applied regression analysis and the use of generalized linear models in social science research analysis. The author has organized the twenty-four chapters that make up the main body of his text in six sections devoted to data craft, linear models and least squares, linear-model diagnostics, generalized linear models, extending linear and generalized linear models, and mixed-effects models. John Fox is a faculty member of McMaster University, Canada. Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com)
Combining a modern, data-analytic perspective with a focus on applications in the social sciences, theThird Edition of Applied Regression Analysis and Generalized Linear Modelsprovides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, thisThird Edition 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.
Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research.