Items related to Kendall's Advanced Theory of Statistics: Bayesian...
Synopsis
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.
"synopsis" may belong to another edition of this title.
Review
'A clearly written and comprehensive account...an excellent book in an excellent series.' (Mathematics Today)
This very well-written book has been designed to complement the Kendall's series by presenting therein the Bayesian point of view. ... The author has skilfully managed to cover a great deal of ground in this volume and readers will find few topics of interest to be missing. (Short Book Reviews)
A really important addition to the statistical literature, providing a careful, gentle approach to modern ideas that should find favour as a university text and as a reference book for all of us.
- VOLUME 168 (1) jANUARY 2005 (Journal of the Roayal Statistical Society, Series)
From the Back Cover
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.
"About this title" may belong to another edition of this title.
(No Available Copies)
Search Books: Create a WantCan't find the book you're looking for? We'll keep searching for you. If one of our booksellers adds it to AbeBooks, we'll let you know!
Create a Want
