Author:
Aitken A. C.,Silverstone H.
Abstract
SummaryIn 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.
Publisher
Cambridge University Press (CUP)
Reference2 articles.
1. On distributions admitting a sufficient statistic
2. On the mathematical foundations of theoretical statistics;Fisher;Phil. Trans.,1921
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献