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E. T. Jaynes Probability Theory (Hardback)
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- Book Title
- Probability Theory
- Publication Name
- Probability Theory : the Logic of Science
- Title
- Probability Theory
- Subtitle
- The Logic of Science
- EAN
- 9780521592710
- ISBN
- 9780521592710
- Publisher
- Cambridge University Press
- Format
- Hardcover
- Release Year
- 2003
- Release Date
- 10/04/2003
- Language
- English
- Country/Region of Manufacture
- GB
- Item Height
- 1.5in
- Item Length
- 10.1in
- Item Width
- 7.1in
- Item Weight
- 57.7 Oz
- Contributor
- G. Larry Bretthorst (Edited by)
- Genre
- Science Nature & Math
- Publication Year
- 2003
- Type
- Textbook
- Number of Pages
- 753 Pages
關於產品
Product Information
A comprehensive introduction to the role of probability theory in general scientific endeavour. This book provides an original interpretation of probability theory, showing the subject to be an extension of logic, and presenting new results and applications. Ideal for scientists working in any area involving inference from incomplete information.
Product Identifiers
Publisher
Cambridge University Press
ISBN-10
0521592712
ISBN-13
9780521592710
eBay Product ID (ePID)
1942664
Product Key Features
Publication Name
Probability Theory : the Logic of Science
Format
Hardcover
Language
English
Publication Year
2003
Type
Textbook
Number of Pages
753 Pages
Dimensions
Item Length
10.1in
Item Height
1.5in
Item Width
7.1in
Item Weight
57.7 Oz
Additional Product Features
Lc Classification Number
Qa273 .J36 2003
Reviews
'… the author thinks for himself … and writes in a lively way about all sorts of things. It is worth dipping into it if only for vivid expressions of opinion. The annotated References and Bibliography are particularly good for this.'Notices of the American Mathematical Society, "[T]he author thinks for himself...and writes in a lively way about all sorts of things. It is worth dipping into it if only for vivid expressions of opinion...There are many books on Bayesian statistics, but few with this much color." Notices of the AMS, "...tantalizing ideas...one of the most useful and least familiar applications of Bayesian theory...Probability Theory [is] considerably more entertaining reading than the average statistics textbook...the conceptual points that underlie his attacks are often right on." Science, This is not an ordinary text. It is an unabashed, hard sell of the Bayesian approach to statistics. It is wonderfully down to earth, with hundreds of telling examples. Everyone who is interested in the problems or applications of statistics should have a serious look.” SIAM News, ‘This is not an ordinary text. It is an unabashed, hard sell of the Bayesian approach to statistics. It is wonderfully down to earth, with hundreds of telling examples. Everyone who is interested in the problems or applications of statistics should have a serious look.’SIAM News, "[T]he author thinks for himself…and writes in a lively way about all sorts of things. It is worth dipping into it if only for vivid expressions of opinion...There are many books on Bayesian statistics, but few with this much color." Notices of the AMS, "This is not an ordinary text. It is an unabashed, hard sell of the Bayesian approach to statistics. It is wonderfully down to earth, with hundreds of telling examples. Everyone who is interested in the problems or applications of statistics should have a serious look." SIAM News, '… the author thinks for himself … and writes in a lively way about all sorts of things. It is worth dipping into it if only for vivid expressions of opinion. The annotated References and Bibliography are particularly good for this.' Notices of the American Mathematical Society, "This is a work written by a scientist for scientists. As such it is to be welcomed. The reader will certainly find things with which he disagrees, but he will also find much that will cause him to think deeply not only on his usual practice by also on statistics and probability in general. Probability Theory: the Logic of Science is, for both statisticians and scientists, more than just 'recommended reading': it should be prescribed." Mathematical Reviews, 'This is not an ordinary text. It is an unabashed, hard sell of the Bayesian approach to statistics. It is wonderfully down to earth, with hundreds of telling examples. Everyone who is interested in the problems or applications of statistics should have a serious look.' SIAM News
Table of Content
Foreword; Preface; Part I. Principles and Elementary Applications: 1. Plausible reasoning; 2. The quantitative rules; 3. Elementary sampling theory; 4. Elementary hypothesis testing; 5. Queer uses for probability theory; 6. Elementary parameter estimation; 7. The central, Gaussian or normal distribution; 8. Sufficiency, ancillarity, and all that; 9. Repetitive experiments, probability and frequency; 10. Physics of 'random experiments'; Part II. Advanced Applications: 11. Discrete prior probabilities, the entropy principle; 12. Ignorance priors and transformation groups; 13. Decision theory: historical background; 14. Simple applications of decision theory; 15. Paradoxes of probability theory; 16. Orthodox methods: historical background; 17. Principles and pathology of orthodox statistics; 18. The Ap distribution and rule of succession; 19. Physical measurements; 20. Model comparison; 21. Outliers and robustness; 22. Introduction to communication theory; References; Appendix A. Other approaches to probability theory; Appendix B. Mathematical formalities and style; Appendix C. Convolutions and cumulants.
Copyright Date
2003
Topic
Probability & Statistics / General, Physics / Mathematical & Computational
Lccn
2002-071486
Dewey Decimal
519.2
Intended Audience
Scholarly & Professional
Dewey Edition
21
Genre
Science, Mathematics
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