Subset Selection in Regression
by
Alan Miller
Book Details
Format
Paperback / Softback
ISBN-10
036739622X
ISBN-13
9780367396220
Publisher
Taylor & Francis Ltd
Imprint
Chapman & Hall/CRC
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 5th, 2019
Print length
256 Pages
Weight
428 grams
Dimensions
15.20 x 22.80 x 2.50 cms
Product Classification:
Probability & statistics
Ksh 12,250.00
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Originally published in 1990, Subset Selection in Regression filled a gap in the literature, and its critical and popular success endured for more than a decade. The second edition continues that tradition and 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. The author thoroughly updated each chapter, added material that reflects recent developments in theory and methods, and included more examples and references. The presentation is clear, concise, and as the Journal of the American Statistical Association reported about the first edition, goes "straight to the guts of a complex problem."
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.
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.
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