Sprache: Englisch
Verlag: Cambridge University Press, 2003
ISBN 10: 0521773393 ISBN 13: 9780521773393
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Sprache: Englisch
Verlag: Cambridge University Press, 2003
ISBN 10: 0521773393 ISBN 13: 9780521773393
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 142,06
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2003
ISBN 10: 0521773393 ISBN 13: 9780521773393
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 152,31
Anzahl: 1 verfügbar
In den WarenkorbHardback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Sprache: Englisch
Verlag: Cambridge University Press, 2003
ISBN 10: 0521773393 ISBN 13: 9780521773393
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 212,00
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. This 2003 book gives an integrated development of models and likelihood that blends theory and practice. 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: 738 pages, 119 tables 566 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 40. Weight in Grams: 149. . 2003. Illustrated. hardcover. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2003
ISBN 10: 0521773393 ISBN 13: 9780521773393
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Models and likelihood are the backbone of modern statistics. This 2003 book gives an integrated development of these topics that blends theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics such as likelihood and linear and generalized linear models. Each chapter contains a wide range of problems and exercises. Practicals in the S language designed to build computing and data analysis skills, and a library of data sets to accompany the book, are available over the Web.