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dc.contributor.authorSutar, Santoshen_US
dc.contributor.authorNAIK-NIMBALKAR, UTTARAen_US
dc.date.accessioned2019-06-25T08:50:11Z
dc.date.available2019-06-25T08:50:11Z
dc.date.issued2019-08en_US
dc.identifier.citationApplied Mathematical Modelling, 72, 486-498.en_US
dc.identifier.issn0307-904Xen_US
dc.identifier.issn1872-8480en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/3114-
dc.identifier.urihttps://doi.org/10.1016/j.apm.2019.03.025en_US
dc.description.abstractWe consider a k-out-of-m load sharing system when the lifetimes of the components are not necessarily identically distributed random variables. For such systems, a model for the load sharing phenomenon through the exponentiated conditional survival functions of ordered failure times is proposed. This model is more general than the load sharing model with identically distributed component lifetimes and leads to a different family of distributions for ordered random variables. A general expression for the reliability of the system is given. The computations of the reliability for a two component parallel load sharing system corresponding to the exponential and Weibull distributions are discussed. For illustrative purpose, we discuss the inference procedures for a two component parallel load sharing system corresponding to the exponential distributions. A simulation study is carried out to assess the proposed estimation and testing procedures. The applicability of the proposed load sharing model is shown through two data sets.en_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.subjectConditional survival functionen_US
dc.subjectk-out-of-m systemen_US
dc.subjectOrder statisticsen_US
dc.subjectPermanentsen_US
dc.subjectSystem reliabilityen_US
dc.subjectTwo component parallel systemen_US
dc.subjectTOC-JUN-2019en_US
dc.subject2019en_US
dc.titleA load share model for non-identical components of a k-out-of-m systemen_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Mathematicsen_US
dc.identifier.sourcetitleApplied Mathematical Modellingen_US
dc.publication.originofpublisherForeignen_US
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