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Quantile Version of Mathai-Haubold Entropy of Order Statistics
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作者 Ibrahim M.Almanjahie Javid Gani Dar +1 位作者 Amer Ibrahim Al-Omari Aijaz Mir 《Computer Modeling in Engineering & Sciences》 SCIE EI 2021年第9期907-925,共19页
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 distri... 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 theMathai-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 studies.Finally,a real data application is used to compare our proposed quantile-based entropy to the existing quantile entropies.The results reveal the outperformance of our proposed entropy to the other entropies. 展开更多
关键词 Shannon entropy mathai-haubold entropy quantile function residual entropy order statistics failure time reliability measures
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