{"title":"Kumaraswamy伪林德利分布:统计性质、极值表征和记录值","authors":"Moumouni Diallo, Modou Ngom, A. M. Fall, G. Lo","doi":"10.16929/as/2022.3259.306","DOIUrl":null,"url":null,"abstract":"The Pseudo-Lindley distribution is generalized in this paper by using the Kumaraswamy-G distribution developed by Cordeiro et al. (2010a). By fusing the Pseudo-Lindley distribution in the Kumaraswamy generator of distribution, we present a new unique four parameters of continuous model of distribution titled the Kumaraswamy Pseudo-Lindley distribution (Kum-PL). The moments and related measures, moment generating function , order statistic, uniform quantile and extremal quantile function are all carefully examined as basic statistical aspects of the new distribution. Moreover, the extremal characterizations and record values of the new model are investigated. The proposed distribution parameters were evaluated using the maximum likelihood procedures. The stability of the parameter estimations is explored using a Monte Carlo simulation study","PeriodicalId":430341,"journal":{"name":"Afrika Statistika","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the Kumaraswamy Pseudo-Lindley distribution : statistical properties, extremal characterization and record values\",\"authors\":\"Moumouni Diallo, Modou Ngom, A. M. Fall, G. Lo\",\"doi\":\"10.16929/as/2022.3259.306\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Pseudo-Lindley distribution is generalized in this paper by using the Kumaraswamy-G distribution developed by Cordeiro et al. (2010a). By fusing the Pseudo-Lindley distribution in the Kumaraswamy generator of distribution, we present a new unique four parameters of continuous model of distribution titled the Kumaraswamy Pseudo-Lindley distribution (Kum-PL). The moments and related measures, moment generating function , order statistic, uniform quantile and extremal quantile function are all carefully examined as basic statistical aspects of the new distribution. Moreover, the extremal characterizations and record values of the new model are investigated. The proposed distribution parameters were evaluated using the maximum likelihood procedures. The stability of the parameter estimations is explored using a Monte Carlo simulation study\",\"PeriodicalId\":430341,\"journal\":{\"name\":\"Afrika Statistika\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Afrika Statistika\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.16929/as/2022.3259.306\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Afrika Statistika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.16929/as/2022.3259.306","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文采用Cordeiro et al. (2010a)提出的kumaraswami - g分布对Pseudo-Lindley分布进行推广。通过融合Kumaraswamy分布发生器中的Pseudo-Lindley分布,我们提出了一个新的独特的四参数连续分布模型Kumaraswamy伪- lindley分布(kumm - pl)。矩量及相关测度、矩量产生函数、序统计量、均匀分位数和极值分位数函数都作为新分布的基本统计方面进行了仔细的研究。此外,还研究了新模型的极值特征和记录值。采用最大似然法对所提出的分布参数进行评估。利用蒙特卡罗模拟研究了参数估计的稳定性
On the Kumaraswamy Pseudo-Lindley distribution : statistical properties, extremal characterization and record values
The Pseudo-Lindley distribution is generalized in this paper by using the Kumaraswamy-G distribution developed by Cordeiro et al. (2010a). By fusing the Pseudo-Lindley distribution in the Kumaraswamy generator of distribution, we present a new unique four parameters of continuous model of distribution titled the Kumaraswamy Pseudo-Lindley distribution (Kum-PL). The moments and related measures, moment generating function , order statistic, uniform quantile and extremal quantile function are all carefully examined as basic statistical aspects of the new distribution. Moreover, the extremal characterizations and record values of the new model are investigated. The proposed distribution parameters were evaluated using the maximum likelihood procedures. The stability of the parameter estimations is explored using a Monte Carlo simulation study