Ten great ideas about chance (Record no. 211682)

000 -LEADER
fixed length control field aam a22 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190328b 2018 ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780691174167
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.2
Item number D4T3
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Diaconis, Persi
9 (RLIN) 377060
245 ## - TITLE STATEMENT
Title Ten great ideas about chance
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Princeton University Press
Date of publication, distribution, etc 2018
Place of publication, distribution, etc New Jersey
300 ## - PHYSICAL DESCRIPTION
Extent x, 255p.
Other physical details With index
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 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.

https://press.princeton.edu/titles/11082.html
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics
9 (RLIN) 377062
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Probabilities
9 (RLIN) 377063
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics - general
9 (RLIN) 377064
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Skyrms, Brian
Relator term Co author
9 (RLIN) 377061
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Total Checkouts Full call number Barcode Checked out Date last seen Date last borrowed Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library General Stacks 2019-03-27 13 1.00 Slot 1398 (0 Floor, East Wing) 1 519.2 D4T3 198906 2019-09-17 2019-05-20 2019-05-20 2090.66 Books

Powered by Koha