Ten great ideas about chance / Persi Diaconis, Brian Skyrms

Von:

Diaconis, Persi, 1945- [VerfasserIn]

Mitwirkende(r):

Skyrms, Brian, 1938- [VerfasserIn]

Resource type: Ressourcentyp: BuchBuchSprache: Englisch Verlag: Princeton ; Oxford : Princeton University Press, [2018]Copyright-Datum: © 2018Beschreibung: x, 255 Seiten : Illustrationen, DiagrammeISBN:

9780691174167
9780691196398

Weitere Titel:

Schlagwörter:

Andere physische Formen: Erscheint auch als: Ten great ideas about chance. Online-Ausgabe (Ebsco) Princeton : Princeton University Press, 2018. 1 Online-Ressource (x, 255 Seiten) | Erscheint auch als: Ten great ideas about chance. Online-Ausgabe (Ebook Central) Princeton, New Jersey ; : Princeton University Press, 2018. 1 online resource (256 pages)MSC: MSC: 60-03 | *60-03 | 62-03 | 60A05 | 01A05 | 62A01LOC-Klassifikation:

QA273.A4

Zusammenfassung: 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. 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 Hum'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. --Zusammenfassung: Measurement -- Judgment -- Psychology -- Frequency -- Mathematics -- Inverse inference -- Unification -- Algorithmic randomness -- Physical chance -- InductionPPN: PPN: 897888936

Exemplare ( 2 )

Exemplare
Medientyp	Heimatbibliothek	Standort	Signatur	Status	Barcode
Freihandbestand ausleihbar	Fachbibliothek Mathematik	Bibliothek / frei aufgestellt	Stoch. / Dia	Verfügbar	36425970090
Freihandbestand ausleihbar	Fachbibliothek Mathematik	Bibliothek / frei aufgestellt	Stoch. / Dia	Verfügbar	36426451090

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