The Exponentiated Generalized Class of Distributions

G. Cordeiro, E. Ortega, Daniel C. C. da Cunha
{"title":"The Exponentiated Generalized Class of Distributions","authors":"G. Cordeiro, E. Ortega, Daniel C. C. da Cunha","doi":"10.6339/JDS.2013.11(1).1086","DOIUrl":null,"url":null,"abstract":"We propose a new method of adding two parameters to a contin- uous distribution that extends the idea rst introduced by Lehmann (1953) and studied by Nadarajah and Kotz (2006). This method leads to a new class of exponentiated generalized distributions that can be interpreted as a double construction of Lehmann alternatives. Some special models are dis- cussed. We derive some mathematical properties of this class including the ordinary moments, generating function, mean deviations and order statis- tics. Maximum likelihood estimation is investigated and four applications to real data are presented.","PeriodicalId":73699,"journal":{"name":"Journal of data science : JDS","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"263","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of data science : JDS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6339/JDS.2013.11(1).1086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 263

Abstract

We propose a new method of adding two parameters to a contin- uous distribution that extends the idea rst introduced by Lehmann (1953) and studied by Nadarajah and Kotz (2006). This method leads to a new class of exponentiated generalized distributions that can be interpreted as a double construction of Lehmann alternatives. Some special models are dis- cussed. We derive some mathematical properties of this class including the ordinary moments, generating function, mean deviations and order statis- tics. Maximum likelihood estimation is investigated and four applications to real data are presented.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
指数广义分布类
我们提出了一种在连续分布中添加两个参数的新方法,该方法扩展了Lehmann(1953)首次提出并由Nadrajah和Kotz(2006)研究的思想。该方法得到了一类新的指数广义分布,它可以被解释为Lehmann替代方案的双重构造。讨论了一些特殊型号。我们导出了这一类的一些数学性质,包括常矩、生成函数、平均偏差和阶统计量。研究了最大似然估计,并给出了四个在实际数据中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Maximum Likelihood Estimation for Shape-restricted Single-index Hazard Models. Central Posterior Envelopes for Bayesian Functional Principal Component Analysis. Optimal Physician Shared-Patient Networks and the Diffusion of Medical Technologies. Generating General Preferential Attachment Networks with R Package wdnet Identification of Optimal Combined Moderators for Time to Relapse
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1