{"title":"Stochastic orderings between two finite mixture models with inverted-Kumaraswamy distributed components","authors":"Raju Bhakta, Pradip Kundu, Suchandan Kayal","doi":"arxiv-2311.17568","DOIUrl":null,"url":null,"abstract":"In this paper, we consider two finite mixture models (FMMs), with\ninverted-Kumaraswamy distributed components' lifetimes. Several stochastic\nordering results between the FMMs have been obtained. Mainly, we focus on three\ndifferent cases in terms of the heterogeneity of parameters. The usual\nstochastic order between the FMMs have been established when heterogeneity\npresents in one parameter as well as two parameters. In addition, we have also\nstudied ageing faster order in terms of the reversed hazard rate between two\nFMMs when heterogeneity is in two parameters. For the case of heterogeneity in\nthree parameters, we obtain the comparison results based on reversed hazard\nrate and likelihood ratio orders. The theoretical developments have been\nillustrated using several examples and counterexamples.","PeriodicalId":501330,"journal":{"name":"arXiv - MATH - Statistics Theory","volume":"83 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Statistics Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2311.17568","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we consider two finite mixture models (FMMs), with
inverted-Kumaraswamy distributed components' lifetimes. Several stochastic
ordering results between the FMMs have been obtained. Mainly, we focus on three
different cases in terms of the heterogeneity of parameters. The usual
stochastic order between the FMMs have been established when heterogeneity
presents in one parameter as well as two parameters. In addition, we have also
studied ageing faster order in terms of the reversed hazard rate between two
FMMs when heterogeneity is in two parameters. For the case of heterogeneity in
three parameters, we obtain the comparison results based on reversed hazard
rate and likelihood ratio orders. The theoretical developments have been
illustrated using several examples and counterexamples.