Monotone Empirical Bayes Tests for the Parameter of a Positive Exponential Family Using PA Samples

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DC Field	Value	Language
dc.contributor.author	Shi, Yi-min
dc.contributor.author	Yan, Shuan-hang
dc.date.accessioned	2016-12-22T17:09:15Z	-
dc.date.available	2016-12-22T17:09:15Z	-
dc.date.issued	2008
dc.identifier.issn	0972-8791 (Print)
dc.identifier.uri	https://ir.vidyasagar.ac.in/handle/123456789/766	-
dc.description	41-49	en_US
dc.description.abstract	In this paper, we develop an empirical Bayes (EB) test by using the kernel-type density estimation in the case of identically distributed and positively associated (PA) samples. Given some suitable conditions, the asymptotically optimal property and the convergence rate of the EB test are obtained. Furthermore, it is proven that the convergence rate can arbitrarily approach toO(n−1) . Finally, an example about the main results of this paper is given. This example shows that the rationality of the conditions in theorem.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Vidyasagar University , Midnapore , West-Bengal , India	en_US
dc.relation.ispartofseries	Journal of Physical Science;Vol 12 [2008]
dc.subject	Empirical Bayes test	en_US
dc.subject	positively associated samples	en_US
dc.subject	asymptotic optimality	en_US
dc.subject	convergence rate	en_US
dc.title	Monotone Empirical Bayes Tests for the Parameter of a Positive Exponential Family Using PA Samples	en_US
dc.type	Article	en_US
Appears in Collections:	Journal of Physical Sciences Vol.12 [2008]

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