Sprache: Englisch
Verlag: Cambridge University Press, 2003
ISBN 10: 0521785162 ISBN 13: 9780521785167
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Sprache: Englisch
Verlag: Cambridge University Press, 2003
ISBN 10: 0521785162 ISBN 13: 9780521785167
Anbieter: Friends of the Multnomah County Library, Portland, OR, USA
Erstausgabe
Soft cover. Zustand: Very Good. 1st Edition. Light shelfwear, corners slightly bumped. Binding still tight. All pages intact and free of marks.
Sprache: Englisch
Verlag: Cambridge University Press, 2003
ISBN 10: 0521785162 ISBN 13: 9780521785167
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 68,83
Anzahl: 1 verfügbar
In den WarenkorbZustand: New. pp. 404 82 Illus.
Sprache: Englisch
Verlag: Cambridge University Press, 2003
ISBN 10: 0521785162 ISBN 13: 9780521785167
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 68,37
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2003
ISBN 10: 0521785162 ISBN 13: 9780521785167
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. This user-friendly 2003 book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. Series Editor(s): Gill, R.; Ripley, Brian D.; Ross, S.; Silverman, B.W. (St Peter's College, Oxford); Stein, M. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 404 pages, 82 b/w illus. BIC Classification: MBNS; PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 252 x 176 x 18. Weight in Grams: 750. . 2003. Illustrated. paperback. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2003
ISBN 10: 0521785162 ISBN 13: 9780521785167
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and public health. The book is geared towards researchers and professionals with little background in regression as well as statistically oriented scientists (biostatisticians, econometricians, quantitative social scientists, and epidemiologists) with knowledge of regression and the desire to begin using more flexible semiparametric models.