Subset Selection in Regression by Alan Miller

Subset Selection in Regression by Alan Miller

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: A separate chapter on Bayesian methods Complete revision of the chapter on estimation A major example from the field of near infrared spectroscopy More emphasis on cross-validation Greater focus on bootstrapping Stochastic algorithms for finding good subsets from large numbers of predictors when an exhaustive search is not feasible Software available on the Internet for implementing many of the algorithms presented More examples 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.

Miller, Alan

SKU	Nicht verfügbar
ISBN 13	9780367396220
ISBN 10	036739622X
Titel	Subset Selection in Regression
Autor	Alan Miller
Serie	Chapman And Hall Crc Monographs On Statistics And Applied Probability
Buchzustand	Nicht verfügbar
Bindungsart	Paperback
Verlag	Taylor & Francis Ltd
Erscheinungsjahr	2019-09-05
Seitenanzahl	256
Hinweis auf dem Einband	Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
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