A fascinating account of the breakthrough ideas that transformed probability and statistics
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. 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.
Rezensionen / Stimmen
"A volume that should be on every scientist's reading list."-Barbara Kiser, Nature "A terrific book."-Mathematics Magazine "Fun and entertaining to read."-MAA Reviews "To anyone with an interest in probability or statistics, this is a book you must read. . . . [It] is far-ranging and can be read at many levels, from the novice to the expert. It is also thoroughly engaging."-David M. Bressoud, UMAP Journal "A very enriching journey. Your vision will be broadened."-Adhemar Bultheel, European Mathematical Society "A great book for anyone who wants to understand some of the central tenets of probability, how they were discovered, and how they can be tamed in our day-to-day lives."-ZME Science
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Produkt-Hinweis
Illustrationen
Maße
Höhe: 203 mm
Breite: 131 mm
Dicke: 22 mm
Gewicht
ISBN-13
978-0-691-19639-8 (9780691196398)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Persi Diaconis is the Mary V. Sunseri Professor of Statistics and Mathematics at Stanford University and the coauthor of Magical Mathematics: The Mathematical Ideas That Animate Great Magic Tricks (Princeton). Brian Skyrms is Distinguished Professor in the Department of Logic and Philosophy at the University of California, Irvine, and Professor of Philosophy at Stanford University. His books include Signals: Evolution, Learning, and Information.
