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Stochastic comparison of parallel systems with Pareto components

Published online by Cambridge University Press:  20 May 2021

Sameen Naqvi
Affiliation:
Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi 502285, India. E-mail: sameen@math.iith.ac.in
Weiyong Ding
Affiliation:
School of Mathematics and Statistics, Jiangsu Normal University, Xuzhou 22116, China. E-mail: mathdwy@hotmail.com, zhaop@jsnu.edu.cn
Peng Zhao
Affiliation:
School of Mathematics and Statistics, Jiangsu Normal University, Xuzhou 22116, China. E-mail: mathdwy@hotmail.com, zhaop@jsnu.edu.cn
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Abstract

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Pareto distribution is an important distribution in extreme value theory. In this paper, we consider parallel systems with Pareto components and study the effect of heterogeneity on skewness of such systems. It is shown that, when the lifetimes of components have different shape parameters, the parallel system with heterogeneous Pareto component lifetimes is more skewed than the system with independent and identically distributed Pareto components. However, for the case when the lifetimes of components have different scale parameters, the result gets reversed in the sense of star ordering. We also establish the relation between star ordering and dispersive ordering by extending the result of Deshpande and Kochar [(1983). Dispersive ordering is the same as tail ordering. Advances in Applied Probability 15(3): 686–687] from support $(0, \infty )$ to general supports $(a, \infty )$, $a > 0$. As a consequence, we obtain some new results on dispersion of order statistics from heterogeneous Pareto samples with respect to dispersive ordering.

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Type
Research Article
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press