Da: Magus Books Seattle, Seattle, WA, U.S.A.
EUR 78,31
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Aggiungi al carrelloHardcover. Condizione: VG. used hardcover copy in illustrated boards, no jacket, as issued. light shelfwear, corners perhaps slightly bumped. pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws.
Da: Textbooks_Source, Columbia, MO, U.S.A.
Prima edizione
EUR 81,02
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Aggiungi al carrellohardcover. Condizione: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Da: BennettBooksLtd, North Las Vegas, NV, U.S.A.
EUR 135,57
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Aggiungi al carrellohardcover. Condizione: New. In shrink wrap. Looks like an interesting title!
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Da: Toscana Books, AUSTIN, TX, U.S.A.
EUR 158,24
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EUR 194,18
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 192,95
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 229,80
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Aggiungi al carrelloCondizione: New. pp. 360 1st Edition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 227,09
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EUR 236,30
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Aggiungi al carrelloCondizione: New. pp. 360.
Da: Revaluation Books, Exeter, Regno Unito
EUR 285,29
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 341 pages. 9.00x5.75x1.00 inches. In Stock.
Da: Majestic Books, Hounslow, Regno Unito
EUR 216,31
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Aggiungi al carrelloCondizione: New. pp. 360 This item is printed on demand.
Editore: Chapman And Hall/CRC Mär 1996, 1996
ISBN 10: 0412983214 ISBN 13: 9780412983214
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 198,60
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data-analytic approaches to regression problems, arising from many scientific disciplines are described in this book. The aim of these nonparametric methods is to relax assumptions on the form of a regression function and to let data search for a suitable function that describes the data well. The use of these nonparametric functions with parametric techniques can yield very powerful data analysis tools. Local polynomial modeling and its applications provides an up-to-date picture on state-of-the-art nonparametric regression techniques. The emphasis of the book is on methodologies rather than on theory, with a particular focus on applications of nonparametric techniques to various statistical problems. High-dimensional data-analytic tools are presented, and the book includes a variety of examples. This will be a valuable reference for research and applied statisticians, and will serve as a textbook for graduate students and others interested in nonparametric regression. 358 pp. Englisch.
Da: moluna, Greven, Germania
EUR 179,01
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Jianqing FanData-analytic approaches to regression problems, arising from many scientific disciplines are described in this book. The aim of these nonparametric methods is to relax assumptions on the form of a regression function and to let data se.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 228,67
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 236,11
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Da: Revaluation Books, Exeter, Regno Unito
EUR 230,71
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 341 pages. 9.00x5.75x1.00 inches. In Stock. This item is printed on demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 215,34
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data-analytic approaches to regression problems, arising from many scientific disciplines are described in this book. The aim of these nonparametric methods is to relax assumptions on the form of a regression function and to let data search for a suitable function that describes the data well. The use of these nonparametric functions with parametric techniques can yield very powerful data analysis tools. Local polynomial modeling and its applications provides an up-to-date picture on state-of-the-art nonparametric regression techniques. The emphasis of the book is on methodologies rather than on theory, with a particular focus on applications of nonparametric techniques to various statistical problems. High-dimensional data-analytic tools are presented, and the book includes a variety of examples. This will be a valuable reference for research and applied statisticians, and will serve as a textbook for graduate students and others interested in nonparametric regression.