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Librería: Magus Books Seattle, Seattle, WA, Estados Unidos de America
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Añadir al carritoHardcover. Condición: 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.
Idioma: Inglés
Publicado por London, Chapman and Hall, 1996
ISBN 10: 0412983214 ISBN 13: 9780412983214
Librería: Antiquariat Bookfarm, Löbnitz, Alemania
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Añadir al carritoHardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 FAN 9780412983214 Sprache: Englisch Gewicht in Gramm: 550.
Librería: BennettBooksLtd, Los Angeles, CA, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Añadir al carritoCondición: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 231,94
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Añadir al carritoCondición: New. pp. 360 1st Edition.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 238,02
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Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 1996
ISBN 10: 0412983214 ISBN 13: 9780412983214
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Original o primera edición
EUR 288,68
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Añadir al carritoHardback. Condición: New. 1st. 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 307,13
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 341 pages. 9.00x5.75x1.00 inches. In Stock.
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Añadir al carritoHardback. Condición: New. 1st.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 221,80
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Añadir al carritoCondición: New. pp. 360 This item is printed on demand.
Librería: moluna, Greven, Alemania
EUR 179,01
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Añadir al carritoGebunden. Condición: 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.
Idioma: Inglés
Publicado por Chapman And Hall/CRC Mär 1996, 1996
ISBN 10: 0412983214 ISBN 13: 9780412983214
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 208,00
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Añadir al carritoBuch. Condición: 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.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 242,37
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Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 360.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 228,01
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Añadir al carritoBuch. Condición: 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.