Nonparametric Regression and Generalized Linear Models focuses on the roughness penalty method of nonparametric smoothing and shows how this technique provides a unifying approach to a wide range of smoothing problems. The emphasis is methodological rather than theoretical, and the authors concentrate on statistical and computation issues. Real data examples are used to illustrate the various methods and to compare them with standard parametric approaches. The mathematical treatment is self-contained and depends mainly on simple linear algebra and calculus. This monograph will be useful both as a reference work for research and applied statisticians and as a text for graduate students.
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P.J. Green, Bristol Univesity. Bernard. W. Silverman St. Peters College, Oxford.
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Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
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Hardcover. Etat : Very Good. Nonparametric Regression and Generalized Linear Models: A roughness penalty approach (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . N° de réf. du vendeur 7719-9780412300400
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Vendeur : Lily of the Valley Books, Waynesboro, VA, Etats-Unis
Hardcover. Etat : Very Good. No Jacket. Book is gently used with only minor wear. Previous owner's name on front free endpaper. Tightly bound copy with clean interior having no markings, writing, underlining, or highlighting in margins or text block. Inv. # 13366. N° de réf. du vendeur 013366
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Vendeur : WorldofBooks, Goring-By-Sea, WS, Royaume-Uni
Paperback. Etat : Very Good. In recent years, there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This monograph concentrates on the roughness penalty method and shows how this technique provides a unifying approach to a wide range of smoothing problems. The method allows parametric assumptions to be realized in regression problems, in those approached by generalized linear modelling, and in many other contexts. The emphasis throughout is methodological rather than theoretical, and it concentrates on statistical and computation issues. Real data examples are used to illustrate the various methods and to compare them with standard parametric approaches. Some publicly available software is also discussed. The mathematical treatment is self-contained and depends mainly on simple linear algebra and calculus. This monograph will be useful both as a reference work for research and applied statisticians and as a text for graduate students and other encountering the material for the first time. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. N° de réf. du vendeur GOR013115231
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Vendeur : Anybook.com, Lincoln, Royaume-Uni
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Vendeur : Reader's Corner, Inc., Raleigh, NC, Etats-Unis
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Vendeur : BennettBooksLtd, Los Angeles, CA, Etats-Unis
Hardcover. Etat : New. In shrink wrap. Looks like an interesting title! N° de réf. du vendeur Q-0412300400
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