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Applied Bayesian Modelling
Peter Congdon (Author)
9780471486954, Wiley
Hardback, published 11 March 2003
480 pages
25 x 17.6 x 3.1 cm, 1.021 kg
"I recommend…highly to statisticians, [and] health researchers...among others to consider keeping on their bookshelf." (Journal of Statistical Computation and Simulation, April 2005) "…a great book…fills a critical gap in existing literature. It is an excellent book for anyone interested in Bayesian modeling…" (Journal of the American Statistical Association, March 2005) "It is certainly a fine choice as a supporting reference in either a first or second Bayesian methods course…” (Technometrics, May 2004) "...has a contemporary feel, with recent developments in financial time series modelling and epidemiology included..." (Short Book Reviews, Vol 23(3), December 2003)
Ein Handbuch der angewandten Bayes-Modellierung.
- demonstriert das Design anwendbarer Modelle sowohl abstrakt als auch anhand der Algorithmen
- bespricht zahlreiche Verfahren zur Bewertung von Modellen
- deckt wichtige Anwendungsgebiete ab, unter anderem multivariate Strukturmodelle, Überlebensanalysen, Epidemiologie
- bietet durchgearbeitete Beispiele in WINBUGS
- zugehöriger Webserver stellt WINBUGS-Programme, Quelltext, Datensätze und anderes Material zur Verfügung
Preface.
The Basis for, and Advantages of, Bayesian Model Estimation via Repeated Sampling.
Hierarchical Mixture Models.
Regression Models.
Analysis of Multi-Level Data.
Models for Time Series.
Analysis of Panel Data.
Models for Spatial Outcomes and Geographical Association.
Structural Equation and Latent Variable Models.
Survival and Event History Models.
Modelling and Establishing Causal Relations: Epidemiological Methods and Models.
Index.
Subject Areas: Mathematics [PB]
