| Titre : |
Applied Bayesian modelling |
| Type de document : |
livre |
| Auteurs : |
Congdon, P. |
| Editeur : |
Chichester, U.K. : Wiley |
| Année de publication : |
2003 |
| Collection : |
Wiley series in probability and statistics |
| Importance : |
457 p. |
| ISBN/ISSN/EAN : |
978-0-471-48695-4 |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Bayesian statistical decision theory Mathematical statistics |
| Résumé : |
The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author's best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and health sciences. The applications are illustrated through many real-life examples and software implementation in WINBUGS - a popular software package that offers a simplified and flexible approach to statistical modelling. The book gives detailed explanations for each example - explaining fully the choice of model for each particular problem. The book provides a good introduction to Bayesian modelling and data analysis for a wide range of people involved in applied statistical analysis, including researchers and students from statistics, and the health and social sciences. The wealth of examples makes this book an ideal reference for anyone involved in statistical modelling and analysis. [Résumé éditeur] |
| En ligne : |
http://www.loc.gov/catdir/toc/wiley031/2002035732.html |
Applied Bayesian modelling [livre] / Congdon, P. . - Chichester, U.K. : Wiley, 2003 . - 457 p.. - ( Wiley series in probability and statistics) . ISBN : 978-0-471-48695-4 Langues : Anglais ( eng)
| Mots-clés : |
Bayesian statistical decision theory Mathematical statistics |
| Résumé : |
The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author's best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and health sciences. The applications are illustrated through many real-life examples and software implementation in WINBUGS - a popular software package that offers a simplified and flexible approach to statistical modelling. The book gives detailed explanations for each example - explaining fully the choice of model for each particular problem. The book provides a good introduction to Bayesian modelling and data analysis for a wide range of people involved in applied statistical analysis, including researchers and students from statistics, and the health and social sciences. The wealth of examples makes this book an ideal reference for anyone involved in statistical modelling and analysis. [Résumé éditeur] |
| En ligne : |
http://www.loc.gov/catdir/toc/wiley031/2002035732.html |
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Applied Bayesian modelling (2003)
