Ten great ideas about chance (Record no. 52319)

000 -LEADER
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
Holdings
Withdrawn status Lost status Damaged status Not for loan Current library Shelving location Full call number Accession Number Koha item type
        IMSc Library First Floor, Rack No: 26, Shelf No: 15 51 DIA 74329 BOOKS
The Institute of Mathematical Sciences, Chennai, India

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