Characterizations of Bivariate Models Using Some Dynamic Conditional Information Divergence Measures

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Characterizations of Bivariate Models Using Some Dynamic Conditional Information Divergence Measures

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dc.contributor.author Sunoj, S M
dc.contributor.author Navarro, J
dc.contributor.author Linu, M N
dc.date.accessioned 2014-07-25T06:25:27Z
dc.date.available 2014-07-25T06:25:27Z
dc.date.issued 2014-04-14
dc.identifier.issn 0361-0926 print / 1532-415X online
dc.identifier.uri http://dyuthi.cusat.ac.in/purl/4287
dc.description Communications in Statistics—Theory and Methods, 43: 1939–1948, 2014 en_US
dc.description.abstract In this article, we study some relevant information divergence measures viz. Renyi divergence and Kerridge’s inaccuracy measures. These measures are extended to conditionally specifiedmodels and they are used to characterize some bivariate distributions using the concepts of weighted and proportional hazard rate models. Moreover, some bounds are obtained for these measures using the likelihood ratio order 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 Renyi divergence measure en_US
dc.subject Kerridge’s inaccuracy measure en_US
dc.subject Conditionally specified model en_US
dc.subject Weighted model en_US
dc.subject Proportional hazard rate en_US
dc.subject Likelihood ratio order en_US
dc.title Characterizations of Bivariate Models Using Some Dynamic Conditional Information Divergence Measures en_US
dc.type Article en_US


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