Fox introduces the idea of regression in a nonparametric, exploratory sense rather than immediately jumping into least squares or maximum likelihood estimation. The text includes a lengthy, and quite thorough, discussion of regression diagnostics. Other topics include graphical representations of data, variable transformations, use of dummy variables, analysis of variance models, and the geometry of the linear model. In the latter part, Fox introduces more advanced topics including time series regression, nonlinear and robust regression, logit models, and bootstrapping and cross-validation. Each chapter concludes with exercises, chapter summaries, and a recommended reading list.
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