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A. C. Davison - Statistical Models - 9780521734493 - V9780521734493
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Statistical Models

€ 88.12
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Description for Statistical Models 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.
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 ... Read more

Product Details

Format
Paperback
Publication date
2008
Publisher
Cambridge University Press
Number of pages
738
Condition
New
Series
Cambridge Series in Statistical and Probabilistic Mathematics
Number of Pages
738
Place of Publication
Cambridge, United Kingdom
ISBN
9780521734493
SKU
V9780521734493
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-2

Reviews for Statistical Models
'This is an excellent textbook on modern statistics.' Zentralblatt MATH '… an almost encyclopaedic survey of modern parametric statistics. In my view this mammoth and scholarly undertaking invites comparison with Kendall's original Advanced Theory of Statistics, providing as it does a snapshot of the discipline at the present time. Anybody who is seriously involved in the theory or practice of ... Read more

Goodreads reviews for Statistical Models


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