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Antonio Di Crescenzo
Researcher at University of Salerno
Publications - 139
Citations - 2316
Antonio Di Crescenzo is an academic researcher from University of Salerno. The author has contributed to research in topics: Stochastic process & Telegraph process. The author has an hindex of 22, co-authored 139 publications receiving 1944 citations. Previous affiliations of Antonio Di Crescenzo include University of Basilicata.
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On cumulative entropies
TL;DR: The cumulative entropy is introduced and studied, which is a new measure of information alternative to the classical differential entropy and is particularly suitable to describe the information in problems related to ageing properties of reliability theory based on the past and on the inactivity times.
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Entropy-based measure of uncertainty in past lifetime distributions
TL;DR: A dual characterization of life distributions that is based on entropy applied to the past lifetime is analyzed, including its connection with the residual entropy, the relation between its increasing nature and the DRFR property, and the effect of monotonic transformations on it.
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Some results on the proportional reversed hazards model
TL;DR: The proportional reversed hazards model as mentioned in this paper describes random failure times by a family of distribution functions, where F(x) is a baseline distribution function and X is a random distribution function.
On weighted residual and past entropies
TL;DR: In this article, a shift-biased information measure, related to the differential entropy in which higher weight is assigned to large values of observed random variables, is considered. And the notions of weighted residual entropy and weighted past entropy are introduced to describe dynamic information of random lifetimes.
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A measure of discrimination between past lifetime distributions
TL;DR: In this article, a measure of discrepancy between past-life distributions is proposed, based on Kullback-Leibler discrimination information and of discrimination information introduced by Ebrahimi and Kirmani.