Fr. 110.40

Classical Probability in the Enlightenment

English · Paperback / Softback

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Zusatztext "Daston's book is great fun to read because of its variety of well-chosen topics, thoughtfully interpreted and presented in wonderfully rich language. She . . . displays an impressive independence from conventional approaches to [the history of probability]." ---Ivo Schneider, American Historical Review Informationen zum Autor Lorraine Daston is a Director of the Max Planck Institute of the History of Science, Berlin. Klappentext What did it mean to be reasonable in the Age of Reason? Classical probabilists from Jakob Bernouli through Pierre Simon Laplace intended their theory as an answer to this question--as "nothing more at bottom than good sense reduced to a calculus!" in Laplace's words. In terms that can be easily grasped by nonmathematicians! Lorraine Daston demonstrates how this view profoundly shaped the internal development of probability theory and defined its applications. Zusammenfassung What did it mean to be reasonable in the Age of Reason? Classical probabilists from Jakob Bernouli through Pierre Simon Laplace intended their theory as an answer to this question--as "nothing more at bottom than good sense reduced to a calculus," in Laplace's words. In terms that can be easily grasped by nonmathematicians, Lorraine Daston demonstrates how this view profoundly shaped the internal development of probability theory and defined its applications.

Product details

Authors Lorraine Daston, Lorraine J. Daston
Publisher Princeton University Press
 
Languages English
Product format Paperback / Softback
Released 16.10.1995
 
EAN 9780691006444
ISBN 978-0-691-00644-4
No. of pages 448
Dimensions 154 mm x 230 mm x 28 mm
Subjects Natural sciences, medicine, IT, technology > Natural sciences (general)

History of Ideas, SCIENCE / History, MATHEMATICS / Probability & Statistics / General, HISTORY / Social History, MATHEMATICS / History & Philosophy, History of Science, Philosophy of Mathematics, Probability & statistics, Probability and statistics

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