A history of parametric statistical inference from Bernoulli to Fisher, 1713-1935 /

Bibliographic Details
Main Author: Hald, Anders, 1913-
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York : Springer, [2007]
Series:Sources and studies in the history of mathematics and physical sciences.
Subjects:
Online Access:Connect to the full text of this electronic book
Publisher description

MARC

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245 1 2 |a A history of parametric statistical inference from Bernoulli to Fisher, 1713-1935 /  |c Anders Hald. 
264 1 |a New York :  |b Springer,  |c [2007] 
264 4 |c ©2007 
300 |a ix, 223 pages :  |b illustrations ;  |c 25 cm. 
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490 1 |a Sources and studies in the history of mathematics and physical sciences 
500 |a Electronic resource. 
504 |a Includes bibliographical references (pages 201-215) and indexes. 
505 0 0 |g pt. 3. The  |t central limit theorem and linear minimum variance estimation by Laplace and Gauss --  |g 12.  |t Laplace's central limit theorem and linear minimum variance estimation --  |g 13.  |t Gauss's theory of linear minimum variance estimation --  |g pt. 4.  |t Error theory, skew distributions : Correlation, sampling distributions --  |g 14. The  |t development of a frequentist error theory --  |g 15.  |t Skew distributions and the method of moments --  |g 16.  |t Normal correlation and regression --  |g 17.  |t Sampling distributions under normality, 1876-1908 --  |g pt. 5. The  |t Fisherian revolution, 1912-1935 --  |g 18.  |t Fisher's early papers, 1912-1921 --  |g 19. The  |t revolutionary paper, 1922 --  |g 20.  |t Studentization, the F distribution, and the analysis of variance, 1922-1925 --  |g 21. The  |t likelihood function, ancillarity, and conditional inference --  |t References --  |t Subject index --  |t Author index. 
505 0 0 |t Preface --  |g 1. The  |t three revolutions in parametric statistical inference --  |g pt. 1.  |t Binomial statistical inference : the three pioneers : Bernoulli (1713), de Moivre (1733), and Bayes (1764) --  |g 2.  |t James Bernoulli's law of large numbers for the binomial, 1713, and its generalization --  |g 3.  |t De Moivre's normal approximation to the binomial, 1733, and its generalization --  |g 4.  |t Bayes's posterior distribution of the binomial parameter and his rule for inductive inference, 1764 --  |g pt. 2.  |t Statistical inference by inverse probability : Inverse probability from Laplace (1774), and Gauss (1809) to Edgeworth (1909) --  |g 5.  |t Laplace's theory of inverse probability, 1774-1786 --  |g 6. A  |t nonprobabilistic interlude: the fitting of equations to data, 1750-1805 --  |g 7.  |t Gauss's derivation of the normal distribution and the method of least squares, 1809 --  |g 8.  |t Credibility and confidence intervals by Laplace and Gauss --  |g 9. The  |t multivariate posterior distribution --  |g 10.  |t Edgeworth's genuine inverse method and the equivalence of inverse and direct probability in large samples, 1908 and 1909 --  |g 11.  |t Criticisms of inverse probability -- 
533 |a Electronic reproduction.  |b New York :  |c Springer,  |d 2008.  |n Mode of access: World Wide Web.  |n System requirements: Web browser.  |n Title from title screen (viewed on Dec. 15, 2008).  |n Access may be restricted to users at subscribing institutions. 
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