Ten Great Ideas about Chance:
A fascinating account of the breakthrough ideas that transformed probability and statisticsIn 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 en...
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| Hauptverfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Princeton, NJ
Princeton University Press
[2017]
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| Schlagworte: | |
| Online-Zugang: | FAW01 FHA01 FKE01 FLA01 UPA01 FAB01 FCO01 Volltext |
| Zusammenfassung: | A fascinating account of the breakthrough ideas that transformed probability and statisticsIn 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.Persi Diaconis and Brian Skyrms begin with Gerolamo Cardano, a sixteenth-century physician, mathematician, and professional gambler who helped develop the idea that chance actually can be measured. They describe how later thinkers showed how the judgment of chance also can be measured, how frequency is related to chance, and how chance, judgment, and frequency could be unified. Diaconis and Skyrms explain how Thomas Bayes laid the foundation of modern statistics, and they explore David Hume’s problem of induction, Andrey Kolmogorov’s general mathematical framework for probability, the application of computability to chance, and why chance is essential to modern physics. A final idea—that we are psychologically predisposed to error when judging chance—is taken up through the work of Daniel Kahneman and Amos Tversky.Complete with a brief probability refresher, Ten Great Ideas about Chance is certain to be a hit with anyone who wants to understand the secrets of probability and how they were discovered |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Aug 2018) |
| Beschreibung: | 1 online resource 25 halftones. 19 line illus. 8 tables |
| ISBN: | 9781400888283 |
| DOI: | 10.1515/9781400888283 |
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Datensatz im Suchindex
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| dewey-full | 519.2 |
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| id | DE-604.BV045928852 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:30:37Z |
| institution | BVB |
| isbn | 9781400888283 |
| language | English |
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| spelling | Diaconis, Persi Verfasser aut Ten Great Ideas about Chance Persi Diaconis, Brian Skyrms Princeton, NJ Princeton University Press [2017] © 2018 1 online resource 25 halftones. 19 line illus. 8 tables txt rdacontent c rdamedia cr rdacarrier Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Aug 2018) A fascinating account of the breakthrough ideas that transformed probability and statisticsIn 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.Persi Diaconis and Brian Skyrms begin with Gerolamo Cardano, a sixteenth-century physician, mathematician, and professional gambler who helped develop the idea that chance actually can be measured. They describe how later thinkers showed how the judgment of chance also can be measured, how frequency is related to chance, and how chance, judgment, and frequency could be unified. Diaconis and Skyrms explain how Thomas Bayes laid the foundation of modern statistics, and they explore David Hume’s problem of induction, Andrey Kolmogorov’s general mathematical framework for probability, the application of computability to chance, and why chance is essential to modern physics. A final idea—that we are psychologically predisposed to error when judging chance—is taken up through the work of Daniel Kahneman and Amos Tversky.Complete with a brief probability refresher, Ten Great Ideas about Chance is certain to be a hit with anyone who wants to understand the secrets of probability and how they were discovered In English Chance Probabilities Zufall (DE-588)4068050-2 gnd rswk-swf Wahrscheinlichkeit (DE-588)4137007-7 gnd rswk-swf Zufall (DE-588)4068050-2 s Wahrscheinlichkeit (DE-588)4137007-7 s 1\p DE-604 Skyrms, Brian aut https://doi.org/10.1515/9781400888283 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Diaconis, Persi Skyrms, Brian Ten Great Ideas about Chance Chance Probabilities Zufall (DE-588)4068050-2 gnd Wahrscheinlichkeit (DE-588)4137007-7 gnd |
| subject_GND | (DE-588)4068050-2 (DE-588)4137007-7 |
| title | Ten Great Ideas about Chance |
| title_auth | Ten Great Ideas about Chance |
| title_exact_search | Ten Great Ideas about Chance |
| title_full | Ten Great Ideas about Chance Persi Diaconis, Brian Skyrms |
| title_fullStr | Ten Great Ideas about Chance Persi Diaconis, Brian Skyrms |
| title_full_unstemmed | Ten Great Ideas about Chance Persi Diaconis, Brian Skyrms |
| title_short | Ten Great Ideas about Chance |
| title_sort | ten great ideas about chance |
| topic | Chance Probabilities Zufall (DE-588)4068050-2 gnd Wahrscheinlichkeit (DE-588)4137007-7 gnd |
| topic_facet | Chance Probabilities Zufall Wahrscheinlichkeit |
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