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XV.—On the Estimation of Statistical Parameters
Published online by Cambridge University Press: 14 February 2012
Summary
In the problem of estimating from sample the value of a parameter in a probability function new postulates are suggested of unbiased linear estimate and minimum sampling variance. A comparison is made, with illustrative examples, between this method and the principle of maximum likelihood, and ground common to the two is traversed. The new postulates are also placed in relation to the theory of sufficient statistics.
- Type
- Research Article
- Information
- Proceedings of the Royal Society of Edinburgh Section A: Mathematics , Volume 61 , Issue 2 , 1942 , pp. 186 - 194
- Copyright
- Copyright © Royal Society of Edinburgh 1942
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