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Bayes Linear Statistics - Theory and Methods

Autor: Michael Goldstein, David Wooff

Jazyk:

Vazba: Pevná

Vydavatel: John Wiley & Sons Inc

Dostupnost: Skladem u dodavatele v malém množství

Odesíláme za 11-15 dnů

4 207 Kč

Bayesian methods combine information available from data with any prior information available from e...

Informace o knize

Autor

Michael Goldstein, David Wooff

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2007

Stránek

536

EAN

9780470015629

ISBN

0470015624

Enbook ID

04878416

Vydavatel

John Wiley & Sons Inc

Hmotnost

870

Rozměry

234 x 159 x 35

Kompletní popis

Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. The methodology differs from the full Bayesian methodology in that it establishes simpler approaches to belief specification and analysis based around expectation judgements. Bayes Linear Statistics presents an authoritative account of this approach, explaining the foundations, theory, methodology, and practicalities of this important field. The text provides a thorough coverage of Bayes linear analysis, from the development of the basic language to the collection of algebraic results needed for efficient implementation, with detailed practical examples. The book covers:* The importance of partial prior specifications for complex problems where it is difficult to supply a meaningful full prior probability specification.* Simple ways to use partial prior specifications to adjust beliefs, given observations.* Interpretative and diagnostic tools to display the implications of collections of belief statements, and to make stringent comparisons between expected and actual observations.* General approaches to statistical modelling based upon partial exchangeability judgements.* Bayes linear graphical models to represent and display partial belief specifications, organize computations, and display the results of analyses. Bayes Linear Statistics is essential reading for all statisticians concerned with the theory and practice of Bayesian methods. There is an accompanying website hosting free software and guides to the calculations within the book.

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