Some Characterization Results on Dynamic Cumulative Residual Tsallis Entropy

We propose a generalized cumulative residual information measure based on Tsallis entropy and its dynamic version. We study the characterizations of the proposed information measure and define new classes of life distributions based on this measure. Some applications are provided in relation to weig...

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Main Authors: Madan Mohan Sati, Nitin Gupta
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2015/694203
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author Madan Mohan Sati
Nitin Gupta
author_facet Madan Mohan Sati
Nitin Gupta
author_sort Madan Mohan Sati
collection DOAJ
description We propose a generalized cumulative residual information measure based on Tsallis entropy and its dynamic version. We study the characterizations of the proposed information measure and define new classes of life distributions based on this measure. Some applications are provided in relation to weighted and equilibrium probability models. Finally the empirical cumulative Tsallis entropy is proposed to estimate the new information measure.
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institution Kabale University
issn 1687-952X
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language English
publishDate 2015-01-01
publisher Wiley
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series Journal of Probability and Statistics
spelling doaj-art-34b3cda426c941938943d00ac477d6b52025-02-03T06:06:08ZengWileyJournal of Probability and Statistics1687-952X1687-95382015-01-01201510.1155/2015/694203694203Some Characterization Results on Dynamic Cumulative Residual Tsallis EntropyMadan Mohan Sati0Nitin Gupta1Department of Mathematics, Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh 173234, IndiaDepartment of Mathematics, Indian Institute of Technology Kharagpur, Kharagpur 721302, IndiaWe propose a generalized cumulative residual information measure based on Tsallis entropy and its dynamic version. We study the characterizations of the proposed information measure and define new classes of life distributions based on this measure. Some applications are provided in relation to weighted and equilibrium probability models. Finally the empirical cumulative Tsallis entropy is proposed to estimate the new information measure.http://dx.doi.org/10.1155/2015/694203
spellingShingle Madan Mohan Sati
Nitin Gupta
Some Characterization Results on Dynamic Cumulative Residual Tsallis Entropy
Journal of Probability and Statistics
title Some Characterization Results on Dynamic Cumulative Residual Tsallis Entropy
title_full Some Characterization Results on Dynamic Cumulative Residual Tsallis Entropy
title_fullStr Some Characterization Results on Dynamic Cumulative Residual Tsallis Entropy
title_full_unstemmed Some Characterization Results on Dynamic Cumulative Residual Tsallis Entropy
title_short Some Characterization Results on Dynamic Cumulative Residual Tsallis Entropy
title_sort some characterization results on dynamic cumulative residual tsallis entropy
url http://dx.doi.org/10.1155/2015/694203
work_keys_str_mv AT madanmohansati somecharacterizationresultsondynamiccumulativeresidualtsallisentropy
AT nitingupta somecharacterizationresultsondynamiccumulativeresidualtsallisentropy