A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935

Anders Hald

ISBN 10: 1441923632 / ISBN 13: 9781441923639

Published by Springer New York, 2006

About this Item

226 pages. 9.00x6.00x0.55 inches. In Stock.

Seller Inventory # x-1441923632

Bibliographic Details

• Title: A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935
• Publisher: Springer New York
• Publication Date: 2006
• Language: English
• ISBN 10: 1441923632
• ISBN 13: 9781441923639
• Binding: Paperback
• Condition: Brand New
• Weight: 0.43 kilograms

About this title

Synopsis

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.

From the Back Cover

This is a history of parametric statistical inference, 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;

* 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.

This book will be of interest to statisticians, mathematicians, undergraduate and graduate students, and historians of science.