Probability Theory: The Logic Of Science

The material available from this page is a pdf version of E.T. Jaynes's book.


Please note that the contents of the file from the link below is slightly of out sync with the actual contents of the book. The listing on this page correspond to the existing chapter order and names.

  1. Preamble and Table Of Contents

Part A - 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"
  11. Discrete Prior Probabilities - The Entropy Principle
  12. Missing chapter.: Ignorance Priors - 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

Part B - Advanced Applications

  1. Physical Measurements
  2. Trend and Seasonality In Time Series
  3. Regression And Linear Models
  4. Missing chapter.
  5. Missing chapter.
  6. Model Comparison
  7. Missing chapter.
  8. Missing chapter.
  9. Introduction To Communication Theory
  10. Missing chapter.
  11. Missing chapter.
  12. Maximum Entropy: Matrix Formulation


  1. Other Approaches To Probability Theory
  2. Mathematical Formalities And Style
  3. Convolutions And Cumulants
  4. Missing appendix.
  5. Multivariate Gaussian Integrals
  6. Missing appendix.
  7. Missing appendix.
  8. Missing appendix.
  9. Missing appendix.