Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers - Brossura

Leonard, Thomas

 
9780521004145: Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers

Sinossi

Bayesian statistics directed towards mainstream statistics. How to infer scientific, medical, and social conclusions from numerical data.

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Recensione

'... challenging and worthwhile ... this book is a very welcome and original contribution to the literature on Bayesian statistics.' J. V. Zidek, ISI Short Book Reviews

'The book makes interesting reading and the breadth of ideas tackled by the authors is enormous ... deserves a place in the university library as well as in the personal libraries of researchers who are interested in the Bayesian approach.' Carmen Fernández, The Statistician

'The book is highly recommended as a well written intermediate book on some modern topics of Bayesian analysis.' H. K. van Dijk, Niew Archief voor Wiskunde

'The explanations stated in the book are very clear, the detailed computations, and the particular way of describing problems, theorems and applications in this book make it useful into only for statisticians but also for other researchers who are confronted with problems of data analysis and who are not primarily familiar with statistical methods.' Monatshefte für Mathematik

'A very readable and interesting book.' Indian Journal of Statistics

Descrizione del libro

Describes the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students as well as statistical and interdisciplinary researchers. It is unusual in presenting Bayesian statistics with an emphasis on mainstream statistics, showing how to infer scientific, medical, and social conclusions from numerical data.

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Altre edizioni note dello stesso titolo

9780521594172: Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers

Edizione in evidenza

ISBN 10:  0521594170 ISBN 13:  9780521594172
Casa editrice: Cambridge University Press, 1999
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