Statistical Models: 11 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11)

Davison, A. C.

ISBN 10: 0521773393 / ISBN 13: 9780521773393

Published by Cambridge University Press, 2003

About this Item

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.

Seller Inventory # V9780521773393

Bibliographic Details

• Title: Statistical Models: 11 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11)
• Publisher: Cambridge University Press
• Publication Date: 2003
• Language: English
• ISBN 10: 0521773393
• ISBN 13: 9780521773393
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Models and likelihood are the backbone of modern statistics and data analysis. The coverage 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. Anthony Davison blends theory and practice to provide an integrated text for advanced undergraduate and graduate students, researchers and practicioners. Its comprehensive coverage makes this the standard text and reference in the subject.

Book Description

Models and likelihood are the backbone of modern statistics and data analysis. Anthony Davison here blends theory and practice to provide an integrated text for advanced undergraduate and graduate students, researchers and practitioners. The coverage 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. This combination will ensure that this becomes the standard text and reference in the subject.