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A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713–1935The Three Revolutions in Parametric Statistical Inference

A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713–1935: The Three... [The three revolutions in parametric statistical inference are due to Laplace [148], Gauss and Laplace (1809–1811), and Fisher [67].] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713–1935The Three Revolutions in Parametric Statistical Inference

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Publisher
Springer New York
Copyright
© Springer Science+Business Media, LLC 2007
ISBN
978-0-387-46408-4
Pages
1 –8
DOI
10.1007/978-0-387-46409-1_1
Publisher site
See Chapter on Publisher Site

Abstract

[The three revolutions in parametric statistical inference are due to Laplace [148], Gauss and Laplace (1809–1811), and Fisher [67].]

Published: Jan 1, 2007

Keywords: Loss Function; Error Distribution; Probability Limit; Inverse Probability; Multivariate Normal Distribution

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