{"title":"Kumarswamy Truncated Lomax Distribution with Applications","authors":"Manal H. Alabdulhadi","doi":"10.37394/23206.2023.22.49","DOIUrl":null,"url":null,"abstract":"This paper introduces a new flexible generalized family of distributions, named Kumarswamy Truncated Lomax Distribution. We study its statistical properties including quantile function, skewness, kurtosis, moments, generating functions, incomplete moments and order statistics. Maximum likelihood estimation of the model parameters is investigated. An application is carried out on real data set to illustrate the performance and flexibility of the proposed model.","PeriodicalId":55878,"journal":{"name":"WSEAS Transactions on Mathematics","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"WSEAS Transactions on Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37394/23206.2023.22.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces a new flexible generalized family of distributions, named Kumarswamy Truncated Lomax Distribution. We study its statistical properties including quantile function, skewness, kurtosis, moments, generating functions, incomplete moments and order statistics. Maximum likelihood estimation of the model parameters is investigated. An application is carried out on real data set to illustrate the performance and flexibility of the proposed model.
期刊介绍:
WSEAS Transactions on Mathematics publishes original research papers relating to applied and theoretical mathematics. We aim to bring important work to a wide international audience and therefore only publish papers of exceptional scientific value that advance our understanding of these particular areas. The research presented must transcend the limits of case studies, while both experimental and theoretical studies are accepted. It is a multi-disciplinary journal and therefore its content mirrors the diverse interests and approaches of scholars involved with linear algebra, numerical analysis, differential equations, statistics and related areas. We also welcome scholarly contributions from officials with government agencies, international agencies, and non-governmental organizations.