Bayesian Theory

— —

José M. Bernardo (University de Valencia, Spain) Adrian F. M. Smith (Imperial College of Science, Technology and Medicine, UK)

Bayesian Theory

José M. Bernardo (University de Valencia, Spain), Adrian F. M. Smith (Imperial College of Science, Technology and Medicine, UK)

$144.95

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

John Wiley & Sons Inc
28 March 2000

Mathematics & Sciences; Numerical analysis; Probability & statistics; Applied mathematics

Series: Wiley Series in Probability and Statistics

This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion of the problem of specification of so-called prior ignorance . The work is written from the authors s committed Bayesian perspective, but an overview of non-Bayesian theories is also provided, and each chapter contains a wide-ranging critical re-examination of controversial issues. The level of mathematics used is such that most material is accessible to readers with knowledge of advanced calculus. In particular, no knowledge of abstract measure theory is assumed, and the emphasis throughout is on statistical concepts rather than rigorous mathematics. The book will be an ideal source for all students and researchers in statistics, mathematics, decision analysis, economic and business studies, and all branches of science and engineering, who wish to further their understanding of Bayesian statistics

By: José M. Bernardo (University de Valencia Spain), Adrian F. M. Smith (Imperial College of Science, Technology and Medicine, UK)
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Dimensions: Height: 232mm, Width: 154mm, Spine: 35mm
Weight: 936g
ISBN: 9780471494645
ISBN 10: 047149464X
Series: Wiley Series in Probability and Statistics
Pages: 610
Publication Date: 28 March 2000
Audience: College/higher education , Professional and scholarly , Professional & Vocational , A / AS level , Further / Higher Education
Format: Paperback
Publisher's Status: Active

About the Authors Jose M. Bernardo received his PhD from University College London and has subsequently been at the University of Valencia, Spain, where he is currently Professor of Statistics and special scientific advisor to the Governor of the State of Valencia. Adrian F. M. Smith received his PhD from University College London and is currently at Imperial College London, where he is Professor of Statistics and Head of the Department of Mathematics

Reviews for Bayesian Theory

an excellent primary source for those who wish to learn about the learning and decision process in a situation of uncertainty... (Measurement Science Technology, February 2001) <br> an ideal source for all students and researchers in statistics mathematics, decision analysis, economic and business studies and all branches of science and engineering who wish to further their understanding of Bayesian statistics. (Zentralblatt Fur Didaktik der Mathematik) <br> .,. Bayesians will find it indispensable: non-Bayesians will find, and enjoy, much thought-provoking material to challenge their orthodoxy.... (The Statistician, Vol.51, No.2, 2002)