It is now generally recognised in many areas of the social, medical and other sciences that statistical data typically have complex hierarchical or multilevel structures in which individuals are grouped together in communities or institutions. This grouping affects their behaviour and multilevel modelling is now the accepted statistical technique for the analysis of this type of data. An understanding of these methods is vital for researchers in fields such as education, epidemiology, geography, child growth and social surveys, among others. This new edition brings the book fully up to date, explaining important new developments such as the use of Markov Chain Monte Carlo methods, bootstrapping and mulitvariate models. The book has been completely restructured for this third edition and extra space has been given to discussion of key issues such as missing data, measurement errors and multivariate models. Real-life examples are used throughout to illustrate clearly the theoretical concepts.
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Book Description
Editorial Reviews
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"A clearly written and comprehensive account...an excellent book in an excellent series."--Mathematics Today
From the Publisher
In recent years enormous advances in Bayesian methodology have resulted in a great expansion regarding the applications of Bayesian statistics in a wide range of fields. This up-to-date volume is designed to meet the growing need for a comprehensive treatment of modern Bayesian theory in readable form. Includes chapters on robustness and computation.
--This text refers to an out of print or unavailable edition of this title.
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1 of 1 people found the following review helpful:
3.0 out of 5 stars
Littered with misprints,
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This review is from: Kendalls Advanced Theory of Statistic 2B (Hardcover)
The book appears to have wonderful content and if the printing were up to snuff I would give it 4 or 5 stars. The copy I received (and returned) was printed only a few days before I purchased it. There are many words that have a letter replaced by a white space. At first I thought I could ignore them even though there were 5 to 10 per page. Then I found that every missing letter was interrupting my concentration on the material. I find Bayesian statistics difficult enough to understand without viewing the material through a botched print job.
3 of 8 people found the following review helpful:
5.0 out of 5 stars
O'Hagan's Jewel,
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This review is from: The Advanced Theory of Statistics, Vol. 2B: Bayesian Inference (Hardcover)
I found this book to be my constant reference.Like Tonny's narative style and the part on NIG Priors! Contains valuable contributions by the author hard to find elsewhere. Highly recommended!
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