Applied Regression Analysis and Generalized Linear Models

<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>