Statistical models
by A. C. Davison
- 2 Want to read
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.
Check nearby libraries
Buy this book
Previews available in: English
| Edition | Availability |
|---|---|
1
|
zzzz
|
|
2
|
zzzz
|
3
|
zzzz
|
|
4
|
zzzz
|
5
|
aaaa
|
|
6
|
zzzz
|
|
7
|
zzzz
|
Book Details
Edition Notes
Includes bibliographical references (p. 699-711) and indexes.
Classifications
The Physical Object
Edition Identifiers
Work Identifiers
Community Reviews (0)
Lists
| December 6, 2025 | Edited by MARC Bot | import existing book |
| May 20, 2020 | Edited by ImportBot | import existing book |
| April 28, 2010 | Edited by Open Library Bot | Linked existing covers to the work. |
| February 13, 2010 | Edited by WorkBot | add more information to works |
| December 10, 2009 | Created by WorkBot | add works page |