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Bayesian statistical modelling / Peter Congdon.

データ種別 電子ブック
2nd ed.
出版者 Chichester, England : John Wiley & Sons
出版年 2006.
大きさ 1 online resource (xi, 573 pages) : : illustrations.

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URL 電子ブック


EB0144894

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内容注記 Introduction : the Bayesian method, its benefits and implementation -- Bayesian model choice, comparison and checking -- The major densities and their application -- Normal linear regression, general linear models and log-linear models -- Hierarchical priors for pooling strength and overdispersed regression modelling -- Discrete mixture priors -- Multinomial and ordinal regression models -- Time series models -- Modelling spatial dependencies -- Nonlinear and nonparametric regression -- Multilevel and panel data models -- Latent variable and structural equation models for multivariate data -- Survival and event history analysis -- Missing data models -- Measurement error, seemingly unrelated regressions, and simultaneous eqations.
一般注記 Wiley series in probability and statistics
Includes bibliographical references and index.
Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters.
著者標目 *Congdon, P.
件 名 LCSH:Bayesian statistical decision theory.
CSHF:Statistique bayésienne.
FREE:MATHEMATICS -- Probability & Statistics -- Bayesian Analysis. -- bisacsh  全ての件名で検索
FREE:Bayesian statistical decision theory. -- fast -- (OCoLC)fst00829019  全ての件名で検索
FREE:Electronic books.
分 類 LCC:QA279.5
DC:519.5/42
巻冊次 ISBN:9780470035931 REFWLINK
ISBN:0470035935 REFWLINK
ISBN:9780470035948 REFWLINK
ISBN:0470035943 REFWLINK
XISBN:0470018755 REFWLINK
XISBN:9780470018750 REFWLINK
ISBN 9780470035931
URL http://onlinelibrary.wiley.com/book/10.1002/9780470035948
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