Rao, Radhakrishna C. ; Anscombe, F. J. (1949) Sufficient statistics and minimum variance estimates Mathematical Proceedings of the Cambridge Philosophical Society, 45 (02). pp. 213-218. ISSN 0305-0041
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Related URL: http://dx.doi.org/10.1017/S0305004100024737
Abstract
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 ∫ tødx=ψ(θ) (1) where dx stands for the product of differentials.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Cambridge University Press. |
| ID Code: | 96479 |
| Deposited On: | 03 Jan 2013 10:25 |
| Last Modified: | 10 Jan 2013 10:17 |
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