文档介绍：Principles of Statistical Inference
In this important book, D. R. Cox develops the key concepts of the theory of statistical
inference, in particular describing paring the main ideas and controversies
over foundational issues that have rumbled on for more than 200 years. Continuing a
60-year career of contribution to statistical thought, Professor Cox is ideally placed to
give prehensive, balanced account of the field that is now needed.
The parison of frequentist and Bayesian approaches to inference allows
readers to form their own opinion of the advantages and disadvantages. Two
appendices give a brief historical overview and the author’s more personal assessment
of the merits of different ideas.
The content ranges from the traditional to the contemporary. While specific
applications are not treated, the book is strongly motivated by applications across the
sciences and associated technologies. The underlying mathematics is kept as
elementary as feasible, though some previous knowledge of statistics is assumed. This
book is for every serious user or student of statistics – in particular, for anyone wanting
to understand the uncertainty inherent in conclusions from statistical analyses.
Principles of Statistical Inference
. COX
Nuffield College, Oxford
CAMBRIDGE UNIVERSITY PRESS
Cambridge, New York, Melbourne, Madrid, Cape Town, Singapore, São Paulo
Cambridge University Press
The Edinburgh Building, Cambridge CB2 8RU, UK
Published in the United States of America by Cambridge University Press, New York
Information on this title: 0521866736
© D. R. Cox 2006
This publication is in copyright. Subject to statutory exception and to the provision of
relevant collective licensing agreements, no reproduction of any part may take place
without the written permission of Cambridge University Press.
First published in print format 2006
ISBN-13 978-0-511-34950-8 eBook (NetLibrary)
ISBN-10 0-511-34950-5 eBook (NetLibrary)
ISBN-13 978-0-521-