Dynamic cumulative residual Renyi’s entropy

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Dynamic cumulative residual Renyi’s entropy

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dc.contributor.author Sunoj, S M
dc.contributor.author Linu, M N
dc.date.accessioned 2014-07-25T06:02:13Z
dc.date.available 2014-07-25T06:02:13Z
dc.date.issued 2010-05-02
dc.identifier.uri http://dyuthi.cusat.ac.in/purl/4281
dc.description Statistics, Vol. 46, No. 1, February 2012, 41–56 en_US
dc.description.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 en_US
dc.description.sponsorship Cochin University of Science and Technology en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis en_US
dc.subject cumulative residual entropy en_US
dc.subject Renyi’s entropy en_US
dc.subject weighted distributions en_US
dc.subject characterization en_US
dc.title Dynamic cumulative residual Renyi’s entropy en_US
dc.type Article en_US


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