The Resource A history of parametric statistical inference from Bernoulli to Fisher, 1713-1935, Anders Hald, (electronic resource)

A history of parametric statistical inference from Bernoulli to Fisher, 1713-1935, Anders Hald, (electronic resource)

Label
A history of parametric statistical inference from Bernoulli to Fisher, 1713-1935
Title
A history of parametric statistical inference from Bernoulli to Fisher, 1713-1935
Statement of responsibility
Anders Hald
Creator
Subject
Language
eng
Member of
Biography type
contains biographical information
Cataloging source
COO
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Sources and studies in the history of mathematics and physical sciences
Label
A history of parametric statistical inference from Bernoulli to Fisher, 1713-1935, Anders Hald, (electronic resource)
Link
http://dx.doi.org/10.1007/978-0-387-46409-1
Publication
Bibliography note
Includes bibliographical references (p. 201-215) and indexes
http://library.link/vocab/branchCode
  • ERDC_HANOV
  • ERDC_VBG
  • ERDC_CHPN
Contents
  • De Moivre's normal approximation to the binomial, 1733, and its generalization
  • 4.
  • Bayes's posterior distribution of the binomial parameter and his rule for inductive inference, 1764
  • pt. 2.
  • Statistical inference by inverse probability : Inverse probability from Laplace (1774), and Gauss (1809) to Edgeworth (1909)
  • 5.
  • Laplace's theory of inverse probability, 1774-1786
  • 6.
  • A nonprobabilistic interlude: the fitting of equations to data, 1750-1805
  • 7.
  • Preface
  • Gauss's derivation of the normal distribution and the method of least squares, 1809
  • 8.
  • Credibility and confidence intervals by Laplace and Gauss
  • 9.
  • The multivariate posterior distribution
  • 10.
  • Edgeworth's genuine inverse method and the equivalence of inverse and direct probability in large samples, 1908 and 1909
  • 11.
  • Criticisms of inverse probability
  • 1.
  • The three revolutions in parametric statistical inference
  • pt. 1.
  • Binomial statistical inference : the three pioneers : Bernoulli (1713), de Moivre (1733), and Bayes (1764)
  • 2.
  • James Bernoulli's law of large numbers for the binomial, 1713, and its generalization
  • 3.
  • 14.
  • The development of a frequentist error theory
  • 15.
  • Skew distributions and the method of moments
  • 16.
  • Normal correlation and regression
  • 17.
  • Sampling distributions under normality, 1876-1908
  • pt. 5.
  • The Fisherian revolution, 1912-1935
  • pt. 3.
  • 18.
  • Fisher's early papers, 1912-1921
  • 19.
  • The revolutionary paper, 1922
  • 20.
  • Studentization, the F distribution, and the analysis of variance, 1922-1925
  • 21.
  • The likelihood function, ancillarity, and conditional inference
  • References
  • Subject index
  • The central limit theorem and linear minimum variance estimation by Laplace and Gauss
  • Author index
  • 12.
  • Laplace's central limit theorem and linear minimum variance estimation
  • 13.
  • Gauss's theory of linear minimum variance estimation
  • pt. 4.
  • Error theory, skew distributions : Correlation, sampling distributions
Control code
ocn288524613
Dimensions
unknown
Extent
1 online resource (ix, 223 p.)
Form of item
online
Isbn
9780387464091
Other physical details
ill.
http://library.link/vocab/recordID
u211782
Specific material designation
remote
Stock number
978-0-387-46408-4
System control number
  • (Sirsi) o288524613
  • (OCoLC)288524613

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