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Bayesian Statistical Modelling
Peter Congdon
€ 137.39
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Description for Bayesian Statistical Modelling
Hardcover. Bayesian Statistical Modelling, Second Edition, provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Series: Wiley Series in Probability and Statistics. Num Pages: 596 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 253 x 174 x 37. Weight in Grams: 1162.
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Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the...
Product Details
Format
Hardback
Publication date
2006
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
596
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
608
Place of Publication
New York, United States
ISBN
9780470018750
SKU
V9780470018750
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Peter Congdon
Peter Congdon is Research Professor of Quantitative Geography and Health Statistics at Queen Mary University of London. He has written three earlier books on Bayesian modelling and data analysis techniques with Wiley, and has a wide range of publications in statistical methodology and in application areas. His current interests include applications to spatial and survey data relating to health status...
Read moreReviews for Bayesian Statistical Modelling
"This text is ideal for researchers in applied statistics, medical sciences, public health and the social sciences, who will benefit greatly from the examples and applications featured. The book will also appeal to graduate students of applied statistics, data analysis and Bayesian methods, and will provide a great source of reference for both researchers and students." (Zentralblatt MATH, 2010)