The Annals of Statistics

Mathematical Statistics in the Early States

Stephen M. Stigler

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Abstract

The history of mathematical statistics in the United States prior to 1885 is reviewed, with emphasis upon the works of Robert Adrain, Benjamin and Charles Peirce, Simon Newcomb, and Erastus De Forest. While the period before 1850 produced little of substance, the years from 1850 to 1885 saw such innovations as an outlier rejection procedure, randomized design of experiments, elicitation of personal probabilities, kernel estimation of density functions, an anticipation of sufficiency, a runs test for fit, a Monte Carlo study, optimal linear smoothing, and the fitting of gamma distributions by the method of moments. Reasons for the rapid acceleration in the growth of the field are explored.

Article information

Source
Ann. Statist. Volume 6, Number 2 (1978), 239-265.

Dates
First available in Project Euclid: 12 April 2007

Permanent link to this document
http://projecteuclid.org/euclid.aos/1176344123

JSTOR
links.jstor.org

Digital Object Identifier
doi:10.1214/aos/1176344123

Mathematical Reviews number (MathSciNet)
MR483118

Zentralblatt MATH identifier
0373.62001

Subjects
Primary: 01A55: 19th century

Keywords
62-03 History of statistics randomization density estimation sufficiency runs test Monte Carlo gamma distribution smoothing

Citation

Stigler, Stephen M. Mathematical Statistics in the Early States. The Annals of Statistics 6 (1978), no. 2, 239--265. doi:10.1214/aos/1176344123. http://projecteuclid.org/euclid.aos/1176344123.


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