Articles liés à Subset Selection in Regression

Subset Selection in Regression - Couverture souple

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Miller, Alan

 
9780367396220: Subset Selection in Regression
Couverture souple
ISBN 10 : 036739622X ISBN 13 : 9780367396220
Editeur : Chapman and Hall/CRC, 2019

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:

  • 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.

    • Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

    À propos de l'auteur

    Miller, Alan

    À propos de la quatrième de couverture

    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."

    Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

    Éditeur
    Chapman and Hall/CRC
    Date d'édition
    2019
    Langue
    anglais
    ISBN 10 
    036739622X
    ISBN 13 
    9780367396220
    Reliure
    Broché
    Numéro d'édition
    2
    Nombre de pages
    256
    Coordonnées du fabricant
    non disponible
    Personne responsable
    gpsr@libri.de
    gpsr@libri.de

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