Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Book Review

Book Review Journal Of Classification 31:270-271 (2014) DOI: 10.1007/s00357- 014 - 9158-7 J.B. Kadane, Principles of Uncertainty, Texts in Statistical Science Se- ries, Chapman & Hall/CRC , 2011. pp. xxviii+475, ISBN 978-1-4398- 6161-5 Following the main connecting thread of the personalistic perspec- tive of probability, this textbook by Joseph Kadane constitutes an interest- ing addition to the existing literature. In particular, a good treatment of the supporting arguments behind Bayesian Statistics is always welcomed. With a singular eloquence, ‘Principles of Uncertainty’ covers a considera- ble amount of material in probability and statistics. An appealing aspect, that makes this book special, is its controversial but comprehensive view supporting the theory of statistical reasoning. Clearly, being one of the main promoters of the subjectivistic approach, Kadane’s views are con- spicuous throughout the text. As someone who often undertakes the task of teaching statistics and regularly needs to enter the philosophical debate justifying the various ap- proaches to statistics, I believe that this book can be very useful. Whether one shares Kadane’s subjectivistic perspective or prefers to be less radical, his introspective approach is sometimes all that is needed to recognize the importance of foundations when learning and applying statistics. The book can be http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Classification Springer Journals

Book Review

Mena, Ramsés
Journal of Classification , Volume 31 (2) – Jul 4, 2014
Download PDF
2 pages

Loading next page...
 
/lp/springer-journals/book-review-gq2zi0hazb

References (19)

Publisher
Springer Journals
Copyright
Copyright © 2014 by Classification Society of North America
Subject
Statistics; Statistical Theory and Methods; Pattern Recognition; Bioinformatics; Signal, Image and Speech Processing; Psychometrics; Marketing
ISSN
0176-4268
eISSN
1432-1343
DOI
10.1007/s00357-014-9158-7
Publisher site
See Article on Publisher Site

Abstract

Journal Of Classification 31:270-271 (2014) DOI: 10.1007/s00357- 014 - 9158-7 J.B. Kadane, Principles of Uncertainty, Texts in Statistical Science Se- ries, Chapman & Hall/CRC , 2011. pp. xxviii+475, ISBN 978-1-4398- 6161-5 Following the main connecting thread of the personalistic perspec- tive of probability, this textbook by Joseph Kadane constitutes an interest- ing addition to the existing literature. In particular, a good treatment of the supporting arguments behind Bayesian Statistics is always welcomed. With a singular eloquence, ‘Principles of Uncertainty’ covers a considera- ble amount of material in probability and statistics. An appealing aspect, that makes this book special, is its controversial but comprehensive view supporting the theory of statistical reasoning. Clearly, being one of the main promoters of the subjectivistic approach, Kadane’s views are con- spicuous throughout the text. As someone who often undertakes the task of teaching statistics and regularly needs to enter the philosophical debate justifying the various ap- proaches to statistics, I believe that this book can be very useful. Whether one shares Kadane’s subjectivistic perspective or prefers to be less radical, his introspective approach is sometimes all that is needed to recognize the importance of foundations when learning and applying statistics. The book can be

Journal

Journal of Classification – Springer Journals

Published: Jul 4, 2014

There are no references for this article.