A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935 (Hardcover, 2007 ed.)

Written by one of the most important historians of statistics of the 20th century, Anders Hald. This book can be viewed as a follow-up to his two most recent books, although this current text is much more streamlined and contains new analysis of many ideas and developments. And unlike his other books, which were encyclopedic by nature, this book can be used for a course on the topic, the only prerequisites being a basic course in probability and statistics. The book is divided into five main sections: 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, 1912-1935. Throughout each of the chapters, the author provides lively biographical sketches of many of the main characters, including Laplace, Gauss, Edgeworth, Fisher, and Karl Pearson. He also examines the roles played by DeMoivre, James Bernoulli, and Lagrange, and he provides an accessible exposition of the work of R.A. Fisher.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Sources and Studies in the History of Mathematics and Physical Sciences
Release date:	December 2006
First published:	2007
Authors:	Anders Hald
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Hardcover
Pages:	225
Edition:	2007 ed.
ISBN-13:	978-0-387-46408-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > History of mathematics
LSN:	0-387-46408-5
Barcode:	9780387464084

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