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Ten great ideas about chance / Persi Diaconis, Brian Skyrms.

By: Diaconis, Persi [author.].
Contributor(s): Skyrms, Brian [author.].
Material type: materialTypeLabelBookPublisher: Princeton, New Jersey : Princeton University Press, [2018]Copyright date: �2018Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781400888283; 140088828X; 0691174164; 9780691174167.Subject(s): Chance | Probabilities | Probability | Hasard | Probabilit�es | probability | MATHEMATICS -- Applied | MATHEMATICS -- Probability & Statistics -- General | MATHEMATICS -- General | Chance | ProbabilitiesGenre/Form: Electronic books. | History.Additional physical formats: Print version:: Ten Great Ideas about Chance.DDC classification: 519.2 Online resources: Click here to access online
Contents:
Measurement -- Judgment -- Psychology -- Frequency -- Mathematics -- Inverse Inference -- Unification -- Algorithmic randomness -- Physical chance -- Induction -- Probability tutorial.
Summary: In the sixteenth and seventeenth centuries, gamblers and mathematicians transformed the idea of chance from a mystery into the discipline of probability, setting the stage for a series of breakthroughs that enabled or transformed innumerable fields, from gambling, mathematics, statistics, economics, and finance to physics and computer science. This book tells the story of ten great ideas about chance and the thinkers who developed them, tracing the philosophical implications of these ideas as well as their mathematical impact.
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Includes bibliographical references and index.

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In the sixteenth and seventeenth centuries, gamblers and mathematicians transformed the idea of chance from a mystery into the discipline of probability, setting the stage for a series of breakthroughs that enabled or transformed innumerable fields, from gambling, mathematics, statistics, economics, and finance to physics and computer science. This book tells the story of ten great ideas about chance and the thinkers who developed them, tracing the philosophical implications of these ideas as well as their mathematical impact.

1. Measurement -- 2. Judgment -- 3. Psychology -- 4. Frequency -- 5. Mathematics -- 6. Inverse Inference -- 7. Unification -- 8. Algorithmic randomness -- 9. Physical chance -- 10. Induction -- Appendix: Probability tutorial.

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