Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/xmlui/handle/100/18333
Title: Estimating the Renyi entropy of several exponential populations
Authors: KAYAL, S
KUMAR, S
VELLAISAMY, P
Issue Date: 2015
Publisher: BRAZILIAN STATISTICAL ASSOCIATION
Citation: BRAZILIAN JOURNAL OF PROBABILITY AND STATISTICS, 29(1)94-111
Abstract: Suppose independent random samples are drawn from k shifted exponential populations with a common location but unequal scale parameters. The problem of estimating the Renyi entropy is considered. The uniformly minimum variance unbiased estimator (UMVUE) is derived. Sufficient conditions for improvement over affine and scale equivariant estimators are obtained. As a consequence, improved estimators over the UMVUE and the maximum likelihood estimator (MLE) are obtained. Further, for the case k = 1, an estimator that dominates the best affine equivariant estimator is derived. Cases when the location parameter is constrained are also investigated in detail.
URI: http://dx.doi.org/10.1214/13-BJPS230
http://dspace.library.iitb.ac.in/jspui/handle/100/18333
ISSN: 0103-0752
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