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VI.—Unbiased Statistics with Minimum Variance

  • A. Bhattacharyya (a1)
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.

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References
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Aitken, A. C., and Silverstone, H., 1941-1942. “On the Estimation of Statistical Parameters”, Proc. Roy. Soc. Edin., A, LXI, 186194.
Bhattacharyya, A., 1946. “On some Analogues of the Amount of Information and their Uses in Statistical Estimation”, Sankhya, VIII, 114.
Bhattacharyya, A., 1947. “On some Analogues of the Amount of Information and their Uses in Statistical Estimation”, Sankhya, VIII, 201218.
Bhattacharyya, A., 1948. “On some Analogues of the Amount of Information and their Uses in Statistical Estimation”, Sankhya, VIII, 315328.
Fisher, R. A., 1921. “Mathematical Foundations of Theoretical Statistics”, Phil. Trans. Roy. Soc., A, CCXXII, 309368.
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Proceedings of the Royal Society of Edinburgh Section A: Mathematics
  • ISSN: 0308-2105
  • EISSN: 1473-7124
  • URL: /core/journals/proceedings-of-the-royal-society-of-edinburgh-section-a-mathematics
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