Bayesian Statistical Modelling Congdon, Peter

Bayesian Statistical Modelling Congdon, Peter

ISBN 10: 0471496006 / ISBN 13: 9780471496007

Editore: Wiley, 2001

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Dati bibliografici

• Titolo: Bayesian Statistical Modelling Congdon, Peter
• Editore: Wiley
• Data di pubblicazione: 2001
• Lingua: Inglese
• ISBN 10: 0471496006
• ISBN 13: 9780471496007
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

This title contains a balance of theory and applications. It covers Bayesian analysis using Markov Chain Monte Carlo methods, illustrated with Bayesian software BUGS. A wide range of application areas are also covered, including social and health sciences.

Recensione

"I found this book comprehensive and stimulating, and was thoroughly impressed with both the depth and range of the discussions in contains?I can certainly recommend it..." ( Short Book Reviews, Vol. 21, No. 3, December 2001)

"...aims to contribute to the development of accessible software methods for applying Bayesian methodology." (Zentralblatt MATH, Vol. 967, 2001/17)

"I would recommend this book to any industrial statistician as a good starting pint for learning about Bayesian methodology and also to those already familiar with Bayesian techniques as a helpful guide to developing proficiency in using BUGS software." (Technometrics, Vol. 44, No. 3, August 2002)

"...fills an important niche in the statistical literature and should be a vary valuable resource for students and professionals..." (Journal of Mathematical Psychology, 2002)

"...an excellent introductory book..." (Biometrics, June 2002)

"...has valuable resources for instructors, statisticians, and researchers..." (Journal of the American Statistical Association, March 2003)

"I found this book comprehensive and stimulating and was thoroughly impressed with both the depth and range of the discussions it contains." ( Short Book Reviews, December 2001)

"...aims to contribute to the development of accessible software methods for applying Bayesian methodology." (Zentralblatt MATH, Vol. 967, 2001/17)

"...fills an important niche in the statistical literature and should be a vary valuable resource for students and professionals..." (Journal of Mathematical Psychology, 2002)

"...an excellent introductory book..." (Biometrics, June 2002)

"...has valuable resources for instructors, statisticians, and researchers..." (Journal of the American Statistical Association, March 2003)