.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
Bayesian Models for Categorical Data
Peter Congdon
€ 127.96
FREE Delivery in Ireland
Description for Bayesian Models for Categorical Data
Hardcover. The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Series: Wiley Series in Probability and Statistics. Num Pages: 446 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 249 x 174 x 31. Weight in Grams: 984.
The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing and applied data analysis, this book provides a comprehensive introduction to Bayesian methods of categorical outcomes.
* Reviews recent Bayesian methodology for categorical outcomes (binary, count and multinomial data).
* Considers missing data models techniques and non-standard models (ZIP and negative binomial).
* Evaluates time series ... Read more
The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing and applied data analysis, this book provides a comprehensive introduction to Bayesian methods of categorical outcomes.
* Reviews recent Bayesian methodology for categorical outcomes (binary, count and multinomial data).
* Considers missing data models techniques and non-standard models (ZIP and negative binomial).
* Evaluates time series ... Read more
Product Details
Format
Hardback
Publication date
2005
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
446
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
448
Place of Publication
New York, United States
ISBN
9780470092378
SKU
V9780470092378
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Peter Congdon
Peter Congdon, Queen Mary, University of London, UK Peter is the author of two best-selling Wiley books on Bayesian modelling – Bayesian Statistical Modelling, and Applied Bayesian Modelling.
Reviews for Bayesian Models for Categorical Data
"…a good book on the shelves of researchers in categorical data analysis." (Technometrics, May 2007) "…valuable for anyone interested in how Bayesian ideas apply in practice an should prove useful for anyone using the WINBUGS package for categorical data analysis." (Biometrics, March 2007) "…an excellent resource for biostatisticians and medical researchers." (Doody's Health Services) "…perfectly ... Read more