Year: 2011
Author: Juan Huang
Communications in Mathematical Research , Vol. 27 (2011), Iss. 1 : pp. 17–23
Abstract
For the data with error of measurement in historical samples, the empirical Bayes test rule for the parameter of Rayleigh distribution is constructed, and the asymptotically optimal property is obtained. It is shown that the convergence rate of the proposed EB test rule can be arbitrarily close to $O(n^{−\frac{1}{2}})$ under suitable conditions.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2011-CMR-19104
Communications in Mathematical Research , Vol. 27 (2011), Iss. 1 : pp. 17–23
Published online: 2011-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 7
Keywords: error of measurement empirical Bayes asymptotic optimality convergence rate.