Ten great ideas about chance (Record no. 52319)
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000 -LEADER | |
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fixed length control field | 02413cam a22002657i 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 170523t20182018njua b 001 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9780691174167 (Hardcover) |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | eng |
080 ## - UNIVERSAL DECIMAL CLASSIFICATION NUMBER | |
Universal Decimal Classification number | 51 |
Item number | DIA |
100 1# - MAIN ENTRY--AUTHOR NAME | |
Personal name | Diaconis, Persi |
245 10 - TITLE STATEMENT | |
Title | Ten great ideas about chance |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | Princeton |
Name of publisher | Princeton university press |
Year of publication | 2018 |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | x, 255 p |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc | Includes bibliographical references (pages 239-246) and index |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Measurement -- Judgment -- Psychology -- Frequency -- Mathematics -- Inverse inference -- Unification -- Algorithmic randomness -- Physical chance -- Induction. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. -- |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Chance |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Probabilities |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Chance |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Probabilities |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | 31.01 history of mathematics |
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
Topical term or geographic name as entry element | Mathematics |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Brian, Skyrms |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | BOOKS |
Withdrawn status | Lost status | Damaged status | Not for loan | Current library | Shelving location | Full call number | Accession Number | Koha item type |
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IMSc Library | First Floor, Rack No: 26, Shelf No: 15 | 51 DIA | 74329 | BOOKS |