9780521734493 - Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, 10, Band 10) von Davison, A. C. (6 Ergebnisse)

Paperback. Zustand: Good. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine.

Zustand: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.

Zustand: New. In.

Zustand: New. 2008. 1st Edition. Paperback. This 2003 book gives an integrated development of models and likelihood that blends theory and practice. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 738 pages, 119 tables 566 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 255 x 179 x 39. Weight in Grams: 1356. Series: Cambridge Series in Statistical and Probabilistic Mathematics. 738 pages, 119 tables 566 exercises. This 2003 book gives an integrated development of models and likelihood that blends theory and practice. Cateogry: (P) Professional & Vocational. BIC Classification: PBT. Dimension: 255 x 179 x 39. Weight: 1278. . . . . . Books ship from the US and Ireland.

Zustand: Gut. Zustand: Gut | Seiten: 738 | Sprache: Englisch | Produktart: Bücher | An integrated development of models and likelihood that blends theory and practice, suitable for advanced undergraduate and graduate students, researchers and practitioners. Each chapter contains a wide range of problems and exercises. A library of data sets accompanying the book is available over the web.

Taschenbuch. 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.