9781584886976: Bayesian Methods for Data Analysis (Texts in Statistical Science Series)
Hardcover
ISBN 10: 1584886978 ISBN 13: 9781584886976
Verlag: Taylor & Francis Inc, 2008

Inhaltsangabe

Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian modeling as implemented via Markov chain Monte Carlo (MCMC) methods and related data analytic techniques.

New to the Third Edition

  • New data examples, corresponding R and WinBUGS code, and homework problems
  • Explicit descriptions and illustrations of hierarchical modeling—now commonplace in Bayesian data analysis
  • A new chapter on Bayesian design that emphasizes Bayesian clinical trials
  • A completely revised and expanded section on ranking and histogram estimation
  • A new case study on infectious disease modeling and the 1918 flu epidemic
  • A solutions manual for qualifying instructors that contains solutions, computer code, and associated output for every homework problem—available both electronically and in print

    • Ideal for Anyone Performing Statistical Analyses

  • Focusing on applications from biostatistics, epidemiology, and medicine, this text builds on the popularity of its predecessors by making it suitable for even more practitioners and students.

    • Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

    Über die Autorin bzw. den Autor

    Bradley P. Carlin, Thomas A. Louis

    „Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

    Verlag
    Taylor & Francis Inc
    Erscheinungsdatum
    2008
    Sprache
    Englisch
    ISBN 10 
    1584886978
    ISBN 13 
    9781584886976
    Einband
    Gebundene Ausgabe
    Auflage
    3
    Anzahl der Seiten
    552
    Kontakt zum Hersteller
    Nicht verfügbar
    Verantwortliche Person
    Nicht verfügbar