{"title":"广义幂Akshaya分布及其应用","authors":"Ahmed T. Ramadan, A. Tolba, B. El-Desouky","doi":"10.4236/ojmsi.2021.94021","DOIUrl":null,"url":null,"abstract":"In this paper, a new \ntwo-parameter distribution called generalized power Akshaya distribution extended from Akshaya distribution is introduced. This \ndistribution is proposed to model lifetime data. Statistical properties like \ndensity, hazard, survival and moments are derived. Two parameters estimation is \nintroduced using maximum likelihood and Bayesian techniques. Finally, an \napplication of real data and a simulation study are introduced to illustrate \nthe usefulness of the proposed distribution.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Generalized Power Akshaya Distribution and Its Applications\",\"authors\":\"Ahmed T. Ramadan, A. Tolba, B. El-Desouky\",\"doi\":\"10.4236/ojmsi.2021.94021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new \\ntwo-parameter distribution called generalized power Akshaya distribution extended from Akshaya distribution is introduced. This \\ndistribution is proposed to model lifetime data. Statistical properties like \\ndensity, hazard, survival and moments are derived. Two parameters estimation is \\nintroduced using maximum likelihood and Bayesian techniques. Finally, an \\napplication of real data and a simulation study are introduced to illustrate \\nthe usefulness of the proposed distribution.\",\"PeriodicalId\":56990,\"journal\":{\"name\":\"建模与仿真(英文)\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"建模与仿真(英文)\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.4236/ojmsi.2021.94021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"建模与仿真(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.4236/ojmsi.2021.94021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generalized Power Akshaya Distribution and Its Applications
In this paper, a new
two-parameter distribution called generalized power Akshaya distribution extended from Akshaya distribution is introduced. This
distribution is proposed to model lifetime data. Statistical properties like
density, hazard, survival and moments are derived. Two parameters estimation is
introduced using maximum likelihood and Bayesian techniques. Finally, an
application of real data and a simulation study are introduced to illustrate
the usefulness of the proposed distribution.