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Title: | On stochastic comparisons of maximum order statistics from the location-scale family of distributions |
Authors: | Hazra, Nil Kamal Kuiti, Mithu Rani Finkelstein, Maxim Nanda, Asok K. |
Keywords: | Location-scale family Majorization orders Parallel system Schur-convex/concave function Stochastic orders |
Issue Date: | 2017 |
Publisher: | SCOPUS Journal of Multivariate Analysis Academic Press Inc. |
Series/Report no.: | 160 |
Abstract: | We consider the location-scale family of distributions, which contains many standard lifetime distributions. We give conditions under which the largest order statistic of a set of random variables with different/the same location as well as different/the same scale parameters dominates that of another set of random variables with respect to various stochastic orders. Along with general results, we consider important special cases, namely, the Feller�Pareto, generalized Pareto, Burr, exponentiated Weibull, Power generalized Weibull, generalized gamma, Half-normal and Fr�chet distributions. � 2017 Elsevier Inc. |
Description: | Hazra, Nil Kamal, Department of Mathematical Statistics and Actuarial Science, University of the Free State, 339, Bloemfontein, 9300, South Africa; Kuiti, Mithu Rani, Department of Operations Management, Indian Institute of Management Calcutta (IIMC), Diamond Harbour Road, Kolkata, 700104, India; Finkelstein, Maxim, Department of Mathematical Statistics and Actuarial Science, University of the Free State, 339, Bloemfontein, 9300, South Africa, ITMO University, St. Petersburg, Russian Federation; Nanda, Asok K., Department of Mathematics and Statistics, Indian Institute of Science Education and Research (IISER) Kolkata, Mohanpur, 741246, India ISSN/ISBN - 0047259X pp.31-41 DOI - 10.1016/j.jmva.2017.06.001 |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021323014&doi=10.1016%2fj.jmva.2017.06.001&partnerID=40&md5=a26d74b648d7804eecc12c0b5f4f549d https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1308 |
Appears in Collections: | Operations Management |
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