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Synopsis
Originally published in 1990, the first edition of Subset Selection in Regression filled a significant gap in the literature, and its critical and popular success has continued for more than a decade. Thoroughly revised to reflect progress in theory, methods, and computing power, the second edition promises to continue that tradition. The author has thoroughly updated each chapter, incorporated new material on recent developments, and included more examples and references.
New in the Second Edition:
Subset Selection in Regression, Second Edition remains dedicated to the techniques for fitting and choosing models that are linear in their parameters and to understanding and correcting the bias introduced by selecting a model that fits only slightly better than others. The presentation is clear, concise, and belongs on the shelf of anyone researching, using, or teaching subset selecting techniques.
Booknews
Monograph intended to alert professional statisticians and advanced students of the field to a class of problems which arise from the too- routine application of the methods of linear regression, and to the existence of techniques which permit some of those problems to be circumvented. Seven chapters, with references and examples, but no exercises. (NW) Annotation c. Book News, Inc., Portland, OR (booknews.com)