[PDF.01mc] The Emergence of Probability: A Philosophical Study of Early Ideas about Probability, Induction and Statistical Inference (Cambridge Series on Statistical & Probabilistic Mathematics)

The Emergence of Probability: A Philosophical Study of Early Ideas about Probability, Induction and Statistical Inference (Cambridge Series on Statistical & Probabilistic Mathematics)

[PDF.jj05] The Emergence of Probability: A Philosophical Study of Early Ideas about Probability, Induction and Statistical Inference (Cambridge Series on Statistical & Probabilistic Mathematics)

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 | #631611 in Books |  2006-07-31 | Original language:English | PDF # 1 |  8.98 x.55 x5.98l,.79 | File type: PDF | 246 pages

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||3 of 3 people found the following review helpful.| it will take some motivation, but it is worth it.|By Charles B. Moss|I am working on a book on Mathematical Statistics. For such a book, I need to motivate the concept of a probability. This text provides insight into the formal development of probability. Not to take too much of the story away, but the concept of gaming and dice has to give way to a general theory of probabili| |"A fascinating in-depth study of the philosophical aspects of the concept of probability during its founding days." |Andreas Karlsson, Uppsala University

"[Hacking's] knowledge of the pertinent literature is considerable and the vigorous style of w

Historical records show that there was no real concept of probability in Europe before the mid-seventeenth century, although the use of dice and other randomizing objects was commonplace. Ian Hacking presents a philosophical critique of early ideas about probability, induction, and statistical inference and the growth of this new family of ideas in the fifteenth, sixteenth, and seventeenth centuries. Hacking invokes a wide intellectual framework involving the growth of s...

You can specify the type of files you want, for your device.The Emergence of Probability: A Philosophical Study of Early Ideas about Probability, Induction and Statistical Inference (Cambridge Series on Statistical & Probabilistic Mathematics)   |  Ian Hacking. A good, fresh read, highly recommended.

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