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Cambridge Series in Statistical and Probabilistic Mathematic #11: Statistical Models

by

Cambridge Series in Statistical and Probabilistic Mathematic #11: Statistical Models Cover

 

Synopses & Reviews

Publisher Comments:

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.

Synopsis:

Gives an integrated development of models and likelihood that blends theory and practice.

Table of Contents

1. Introduction; 2. Variation; 3. Uncertainty; 4. Likelihood; 5. Models; 6. Stochastic models; 7. Estimation and hypothesis testing; 8. Linear regression models; 9. Designed experiments; 10. Nonlinear regression models; 11. Bayesian models; 12. Conditional and marginal inference.

Product Details

ISBN:
9780521734493
Author:
Davison, A. C.
Publisher:
Cambridge University Press
Location:
New York
Subject:
Probability & Statistics - General
Subject:
Mathematics | Probability and Statistics
Subject:
Statistics
Edition Description:
Trade paper
Series:
Cambridge Series in Statistical and Probabilistic Mathematic
Series Volume:
11
Publication Date:
20080631
Binding:
TRADE PAPER
Language:
English
Illustrations:
119 tables 566 exercises
Pages:
738
Dimensions:
9.80x7.00x1.70 in. 2.75 lbs.

Related Subjects

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Cambridge Series in Statistical and Probabilistic Mathematic #11: Statistical Models New Trade Paper
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Product details 738 pages Cambridge University Press - English 9780521734493 Reviews:
"Synopsis" by , Gives an integrated development of models and likelihood that blends theory and practice.
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