An introductory 2001 textbook on probability and induction written by a foremost philosopher of science.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Ian Hacking is the winner of the Holberg International Memorial Prize 2009.
Inhaltsangabe
Part I. Logic: 1. Logic 2. What is inductive logic? Part II. How to Calculate Probabilities: 3. The gambler's fallacy 4. Elementary probability 5. Conditional probability 6. Basic laws of probability 7. Bayes' rule Part III. How to Combine Probabilities and Utilities: 8. Expected value 9. Maximizing expected value 10. Decision under uncertainty Part IV. Kinds of Probability: 11. What do you mean? 12. Theories about probability Part V. Probability as a Measure of Belief: 13. Personal probabilities 14. Coherence 15. Learning from experience Part VI. Probability as Frequency: 16. Stability 17. Normal approximations 18. Significance 19. Confidence and inductive behaviour Part VII. Probability Applied to Philosophy: 20. The philosophical problem of induction 21. Learning from experience as an evasion of the problem 22. Inductive behaviour as an evasion of the problem.
Part I. Logic: 1. Logic 2. What is inductive logic? Part II. How to Calculate Probabilities: 3. The gambler's fallacy 4. Elementary probability 5. Conditional probability 6. Basic laws of probability 7. Bayes' rule Part III. How to Combine Probabilities and Utilities: 8. Expected value 9. Maximizing expected value 10. Decision under uncertainty Part IV. Kinds of Probability: 11. What do you mean? 12. Theories about probability Part V. Probability as a Measure of Belief: 13. Personal probabilities 14. Coherence 15. Learning from experience Part VI. Probability as Frequency: 16. Stability 17. Normal approximations 18. Significance 19. Confidence and inductive behaviour Part VII. Probability Applied to Philosophy: 20. The philosophical problem of induction 21. Learning from experience as an evasion of the problem 22. Inductive behaviour as an evasion of the problem.
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