@Article{CMR-27-1,
author = {Juan, Huang},
title = {Empirical Bayes Test for the Parameter of Rayleigh Distribution with Error of Measurement},
journal = {Communications in Mathematical Research },
year = {2011},
volume = {27},
number = {1},
pages = {17--23},
abstract = {<p style="text-align: justify;">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.</p>},
issn = {2707-8523},
doi = {https://doi.org/2011-CMR-19104},
url = {https://global-sci.com/article/81853/empirical-bayes-test-for-the-parameter-of-rayleigh-distribution-with-error-of-measurement}
}