A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935 Hardback
by Anders Hald
Part of the Sources and Studies in the History of Mathematics and Physical Sciences series
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.
- Format: Hardback
- Pages: 225 pages, 1 Tables, black and white; XIII, 225 p.
- Publisher: Springer-Verlag New York Inc.
- Publication Date: 18/12/2006
- Category: Probability & statistics
- ISBN: 9780387464084
- PDF from £76.08