Hostname: page-component-77c89778f8-9q27g Total loading time: 0 Render date: 2024-07-24T22:24:57.330Z Has data issue: false hasContentIssue false

Sufficient statistics and minimum variance estimates

Published online by Cambridge University Press:  24 October 2008

C. Radhakrishna Rao
Affiliation:
King's CollegeCambridge

Extract

Let the probability density of observations be denoted by φ(x | θ), where x stands for the variables and θ for the parameters. A function t of the observations is called an unbiased estimate of the function ψ(θ) of the parameters if

where dx stands for the product of differentials.

Type
Research Article
Copyright
Copyright © Cambridge Philosophical Society 1949

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

(1)Aitken, A. C. and Silverstone, H.Proc. Roy. Soc. Edinburgh, A, 61 (1942), 186.Google Scholar
(2)Bhattacharya, A.Sankhya, 8 (1947), 1.Google Scholar
(3)Cramér, H.Mathematical methods of statistics (Uppsala, 1945) (reprinted in English, Princeton Univ. Press).Google Scholar
(4)Fisher, R. A.Philos. Trans. A, 222 (1921), 309.Google Scholar
(5)Fisher, R. A.Proc. Roy. Soc. A, 144 (1934), 285.Google Scholar
(6)Koopman, B. O.Trans. American Math. Soc. 39 (1936), 399.CrossRefGoogle Scholar
(7)Rao, C. R.Bull. Calcutta Math. Soc. 37 (1945), 81.Google Scholar
(8)Rao, C. R.Proc. Cambridge Phil. Soc. 43 (1947), 280.CrossRefGoogle Scholar
(9)Widder, D. V.The Laplace transform. (Princeton, 1941).Google Scholar