Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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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: 0387464085
ISBN 13: 9780387464084
Binding: Hardcover
Edition: 2007th Edition.
Condition: Very Good
Weight: 2.513 pounds

About this title

Synopsis

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.

From the Back Cover

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.

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

"About this title" may belong to another edition of this title.

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