- Series: Chapman & Hall/CRC Texts in Statistical Science
- Hardcover: 504 pages
- Publisher: Chapman and Hall/CRC; 1 edition (May 18, 2011)
- Language: English
- ISBN-10: 1439861617
- ISBN-13: 978-1439861615
- Product Dimensions: 7 x 1.1 x 10 inches
- Shipping Weight: 2.4 pounds (View shipping rates and policies)
- Amazon Best Sellers Rank: #2,113,087 in Books (See Top 100 in Books)
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
Principles of Uncertainty (Chapman & Hall/CRC Texts in Statistical Science) 1st Edition
Use the Amazon App to scan ISBNs and compare prices.
Featured Springer resources in biomedicine
Explore these featured titles in biomedicine. Learn more
Customers who bought this item also bought
"… it is a book about Bayesian probability, statistics, and decision making. … an excellent choice. … The exercises at the end of each chapter are well conceived and in this way most useful for checking understanding of the text. Typos and errata are rare in this book. … recommended to statisticians (without restriction of any kind), statistics students at a graduate or PhD level, and empirical researchers in general … a sound basis for a course in Bayesian probability, statistics, and decision making."
―Biometrical Journal, 2013
This book mainly focuses on the use of Bayesian statistics. It is written using stories and many examples to which readers can relate, and is thus an engaging and appealing text on what is generally a very dry mathematical subject.
―John J. Shea, IEEE Electrical Insulation Magazine, May/June 2013, Vol. 29, No. 3
This text provides a unique blend of theory, methods, philosophy and applications that is suitable for a course in Bayesian probability and statistics. … provides thought-provoking material for teaching. …
―Erkki P. Liski, International Statistical Review, 2012
In this remarkable book, Kadane begins at the most rudimentary level, develops all the needed mathematics on the fly, and still manages to flesh out at least the core of the whole story, slowly, thoughtfully, and rigorously, right up to graduate level. Major theorems all proved in detail appear here, but not for their own sake; the author always carefully selects them to clarify the basic meaning of the subject and his own views concerning the pitfalls and subtleties of its proper application. Summing Up: Highly recommended.
―D.V. Feldman, CHOICE, February 2012
Principles of Uncertainty is a profound and mesmerising book on the foundations and principles of subjectivist or behaviouristic Bayesian analysis. … the book is a pleasure to read. And highly recommended for teaching as it can be used at many different levels. … A must-read for sure!
―Christian Robert, The Statistics Forum/CHANCE, October 2011
It's a lovely book, one that I hope will be widely adopted as a course textbook.
―Michael Jordan, University of California, Berkeley, USA
A careful, complete, and lovingly written exposition of the subjective Bayesian viewpoint by one of its most eloquent and staunch defenders. Summarizes a lifetime of theory, methods, and application developments for the Bayesian inferential engine. A must-read for anyone looking for a deep understanding of the foundations of Bayesian methods and what they offer modern statistical practice.
―Bradley P. Carlin, Professor and Head of Division of Biostatistics, University of Minnesota, Minneapolis, USA
About the Author
Joseph B. Kadane, Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
Browse award-winning titles. See more
If you are a seller for this product, would you like to suggest updates through seller support?