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David Wooff

Bayes Linear Statistics

Theory and Methods

Ebook (PDF Format)

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… Mehr

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Produktdetails


Weitere Autoren: Goldstein, Michael
  • ISBN: 978-0-470-06567-9
  • EAN: 9780470065679
  • Produktnummer: 13890095
  • Verlag: Wiley
  • Sprache: Englisch
  • Erscheinungsjahr: 2007
  • Seitenangabe: 536 S.
  • Plattform: PDF
  • Masse: 4'534 KB

Über den Autor


Michael Goldstein, Professor of Statistics, Department of Mathematical Sciences, University of Durham Michael Goldstein has worked on and researched the Bayes linear approach for around 30 years, his general interests being in the foundations, methodology and applications of Bayesian/subjectivist approaches to statistics. He has an outstanding reputation as one of the most original thinkers in the field, and was a contributing author to Wiley's Encyclopedia of Statistical Sciences. David Wooff, Director of Statistics & Mathematics Consultancy Unit and Senior Lecturer in Statistics, Department of Mathematical Sciences, University of Durham David Wooff has been involved in a long collaboration for over 20 years with Michael Goldstein and others on developing Bayes linear methods, his primary research interest being the general development and application of Bayes linear methodology.

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