Combining a modern, data-analytic perspective with a focus on
applications in the social sciences, the Third Edition of Applied
Regression Analysis and Generalized Linear Models provides in-depth
coverage of regression analysis, generalized linear models, and
closely related methods, such as bootstrapping and missing data.
Updated throughout, this Third 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.
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