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A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935

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A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935 by unknown
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This book offers a detailed history of parametric statistical inference. Covering the period between James Bernoulli and R.A. Fisher, it examines: binomial statistical inference; statistical inference by inverse probability; the central limit theorem and linear minimum variance estimation by Laplace and Gauss; error theory, skew distributions, correlation, sampling distributions; and the Fisherian Revolution. Lively biographical sketches of many of the main characters are featured throughout, including Laplace, Gauss, Edgeworth, Fisher, and Karl Pearson. Also examined are the roles played by DeMoivre, James Bernoulli, and Lagrange.

Springer New York; August 2008
233 pages; ISBN 9780387464091
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Title: A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935
Author: unknown
 
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