Ibrahim M. Almanjahie1,2,*, Javid Gani Dar3, Amer Ibrahim Al-Omari4, Aijaz Mir5
CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.3, pp. 907-925, 2021, DOI:10.32604/cmes.2021.014896
Abstract Many researchers measure the uncertainty of a random variable using quantile-based entropy techniques. These
techniques are useful in engineering applications and have some exceptional characteristics than their distribution
function method. Considering order statistics, the key focus of this article is to propose new quantile-based
Mathai-Haubold entropy and investigate its characteristics. The divergence measure of the Mathai-Haubold is also
considered and some of its properties are established. Further, based on order statistics, we propose the residual
entropy of the quantile-based Mathai-Haubold and some of its property results are proved. The performance of
the proposed quantile-based Mathai-Haubold entropy is investigated by simulation… More >
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