ON CUMULATIVE RESIDUAL EXTROPY

By S. Jahanshahi, Hassan Zarei, A. H. Khammar. Probability in the engineering and informational sciences (Print), 2020

83 citations recorded by the source corpus.

Recently, an alternative measure of uncertainty called extropy is proposed by Lad et al. [12]. The extropy is a dual of entropy which has been considered by researchers. In this article, we introduce an alternative measure of uncertainty of random variable which we call it cumulative residual extropy. This measure is based on the cumulative distribution function F. Some properties of the proposed measure, such as its estimation and applications, are studied. Finally, some numerical examples for illustrating the theory are included.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/79a3f7996937051d581ad36748455f74c80615f1

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1. Abdolsaeed Toomaj
2. Saeid Tahmasebi

Citations in the corpus

• On negative cumulative extropy with applications (2020, background): “Thereafter, the cumulative entropy has been extended to more general cases which can be seen in Kayal (2016) and Di Crescenzo and Toomaj (2017) and references therein.”