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Please use this identifier to cite or link to this item: http://purl.org/purl/4281

Title: Dynamic cumulative residual Renyi’s entropy
Authors: Sunoj, S M
Linu, M N
Keywords: cumulative residual entropy
Renyi’s entropy
weighted distributions
characterization
Issue Date: 2-May-2010
Publisher: Taylor & Francis
Abstract: Recently, cumulative residual entropy (CRE) has been found to be a new measure of information that parallels Shannon’s entropy (see Rao et al. [Cumulative residual entropy: A new measure of information, IEEE Trans. Inform. Theory. 50(6) (2004), pp. 1220–1228] and Asadi and Zohrevand [On the dynamic cumulative residual entropy, J. Stat. Plann. Inference 137 (2007), pp. 1931–1941]). Motivated by this finding, in this paper, we introduce a generalized measure of it, namely cumulative residual Renyi’s entropy, and study its properties.We also examine it in relation to some applied problems such as weighted and equilibrium models. Finally, we extend this measure into the bivariate set-up and prove certain characterizing relationships to identify different bivariate lifetime models
Description: Statistics, Vol. 46, No. 1, February 2012, 41–56
URI: http://dyuthi.cusat.ac.in/purl/4281
Appears in Collections:Dr.Sunoj, S M

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