Bayesian Statistical Modelling
Congdon, Peter
Sold by World of Books (was SecondSale), Montgomery, IL, U.S.A.
AbeBooks Seller since 20 December 2007
Used - Hardcover
Condition: Used - Good
Quantity: 1 available
Add to basketSold by World of Books (was SecondSale), Montgomery, IL, U.S.A.
AbeBooks Seller since 20 December 2007
Condition: Used - Good
Quantity: 1 available
Add to basketItem in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Seller Inventory # 00088263713
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 availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics.
Following the success of the first edition, this reworked and updated book provides an accessible approach to Bayesian computing and analysis, with an emphasis on the principles of prior selection, identification and the interpretation of real data sets.
The second edition:
Bayesian Statistical Modelling is ideal for researchers in applied statistics, medical science, 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.
Praise for the First Edition:
"It is a remarkable achievement to have carried out such a range of analysis on such a range of data sets. I found this book comprehensive and stimulating, and was thoroughly impressed with both the depth and the range of the discussions it contains."
―ISI - Short Book Reviews
"This is an excellent introductory book on Bayesian modelling techniques and data analysis."
―Biometrics
"The book fills an important niche in the statistical literature and should be a very valuable resource for students and professionals who are utilizing Bayesian methods."
―Journal of Mathematical Psychology
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