
Probability Theory: The Logic of Science
by E. T. Jaynes , Edited by G. Larry Bretthorst-
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Summary
Table of 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. |
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