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## Details

Additional Physical Format: | Erscheint auch als: Jaynes, Edwin T., 1922-1998 Probability theory Cambridge : Cambridge Univ. Press, 2003 XXIX, 727 S. Druck-Ausgabe |
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Material Type: | Internet resource |

Document Type: | Internet Resource, Computer File |

All Authors / Contributors: |
E T Jaynes; G Larry Bretthorst; Ebrary, Inc. |

ISBN: | 0521592712 9780521592710 9780511790423 0511790422 |

OCLC Number: | 704513655 |

Reproduction Notes: | Online-Ausg. Palo Alto, Calif. ebrary, 2009. online-Ressource. |

Description: | xxix, 727 p. ; 26 cm. |

Contents: | 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. |

Responsibility: | E.T. Jaynes ; edited by G. Larry Bretthorst. |

### Abstract:

## Reviews

*Editorial reviews*

Publisher Synopsis

'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 book could be of interest to scientists working in areas where inference of incomplete information should be made.' Zentralblatt MATH '... 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 "...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 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 "...the rewards of reading Probability Theory can be immense." Physics Today, Ralph Baierlein "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 Read more...

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