Revised and updated with the latest results, this Third Edition
explores the theory and applications of linear models. The authors
present a unified theory of inference from linear models and its
generalizations with minimal assumptions. They not only use least
squares theory, but also alternative methods of estimation and
testing based on convex loss functions and general estimating
equations. Highlights of coverage include sensitivity analysis and
model selection, an analysis of incomplete data, an analysis of
categorical data based on a unified presentation of generalized
linear models, and an extensive appendix on matrix theory.
General
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