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- W2326471569 abstract "In the context of information theory, Shannon’s entropy 16 plays an important role. In case, one has information about the current age of the component which can be taken into account for measuring its uncertainty, Shannon’s entropy is not suitable as such. Consequently, Ebrahimi 3 proposed an alternative approach for characterization of distribution functions in terms of conditional Shannon’s measure of uncertainty. In this paper, we propose generalized residual entropy function for characterization of some life time models. Also, upper and lower bound of hazard rate function in terms of generalized residual entropy have been obtained. Based on the proposed measure, we derive the generalized residual entropy function for some continuous lifetime models." @default.
- W2326471569 created "2016-06-24" @default.
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- W2326471569 date "2013-01-01" @default.
- W2326471569 modified "2023-10-18" @default.
- W2326471569 title "On Some Characterization Results of Life Time Distributions using Mathai-Haubold Residual Entropy" @default.
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- W2326471569 doi "https://doi.org/10.9790/5728-0545660" @default.
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