Hostname: page-component-7479d7b7d-c9gpj Total loading time: 0 Render date: 2024-07-11T21:30:51.238Z Has data issue: false hasContentIssue false

VI.—Unbiased Statistics with Minimum Variance

Published online by Cambridge University Press:  14 February 2012

A. Bhattacharyya
Affiliation:
Statistical Laboratory, Calcutta.

Synopsis

The problem considered is that of the estimation of a statistical parameter from a sample of values of the variate or variates concerned. Reference is made to the method of unbiased statistics with minimum variance, developed by Aitken and Silverstone. The principal result obtained by these authors is generalized, and an inequality involving the variances of unbiased statistics is obtained. Several examples illustrating the theory are appended.

Type
Research Article
Copyright
Copyright © Royal Society of Edinburgh 1950

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

References to Literature

Aitken, A. C., and Silverstone, H., 1941-1942. “On the Estimation of Statistical Parameters”, Proc. Roy. Soc. Edin., A, LXI, 186194.Google Scholar
Bhattacharyya, A., 1946. “On some Analogues of the Amount of Information and their Uses in Statistical Estimation”, Sankhya, VIII, 114.Google Scholar
Bhattacharyya, A., 1947. “On some Analogues of the Amount of Information and their Uses in Statistical Estimation”, Sankhya, VIII, 201218.Google Scholar
Bhattacharyya, A., 1948. “On some Analogues of the Amount of Information and their Uses in Statistical Estimation”, Sankhya, VIII, 315328.Google Scholar
Fisher, R. A., 1921. “Mathematical Foundations of Theoretical Statistics”, Phil. Trans. Roy. Soc., A, CCXXII, 309368.Google Scholar