Statistical models

A.C. Davison

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.

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[目次]

  • 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.

「Nielsen BookData」より

この本の情報

書名 Statistical models
著作者等 Davison, A. C.
Gill R.
Ripley Brian D.
Ross S.
Silverman B.W. (St Peter's College Oxford)
Stein M.
Davison A. C.
シリーズ名 Cambridge series on statistical and probabilistic mathematics
出版元 Cambridge University Press
刊行年月 2003
ページ数 x, 726 p.
大きさ 26 cm
ISBN 0521773393
NCID BA63609204
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言語 英語
出版国 イギリス
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