An extended version of Kumaraswamy inverse Weibull distribution and its properties

IF 1.6 Q1 STATISTICS & PROBABILITY Statistica Pub Date : 2016-09-30 DOI:10.6092/ISSN.1973-2201/6317
C. Kumar, Subha R. Nair
{"title":"An extended version of Kumaraswamy inverse Weibull distribution and its properties","authors":"C. Kumar, Subha R. Nair","doi":"10.6092/ISSN.1973-2201/6317","DOIUrl":null,"url":null,"abstract":"Here we consider an extended version of the Kumaraswamy modified inverse Weibull distribution and investigate some of its theoretical properties through deriving expressions for cumulative distribution function, reliability function, hazard rate function, quantile function, characteristic function, raw moments, median, mode etc. Certain reliability measures of the distribution are obtained along with the distribution and moments of its order statistics. The maximum likelihood estimation of the parameters of the distribution is discussed and certain real life data applications are given for illustrating the usefulness of the model. Further, with the help of simulated data sets it is shown that the average bias and mean square errors of the maximum likelihood estimators are in decreasing order as the sample size increases.","PeriodicalId":45117,"journal":{"name":"Statistica","volume":"76 1","pages":"249-272"},"PeriodicalIF":1.6000,"publicationDate":"2016-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6092/ISSN.1973-2201/6317","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 4

Abstract

Here we consider an extended version of the Kumaraswamy modified inverse Weibull distribution and investigate some of its theoretical properties through deriving expressions for cumulative distribution function, reliability function, hazard rate function, quantile function, characteristic function, raw moments, median, mode etc. Certain reliability measures of the distribution are obtained along with the distribution and moments of its order statistics. The maximum likelihood estimation of the parameters of the distribution is discussed and certain real life data applications are given for illustrating the usefulness of the model. Further, with the help of simulated data sets it is shown that the average bias and mean square errors of the maximum likelihood estimators are in decreasing order as the sample size increases.
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
Kumaraswamy逆威布尔分布的一个扩展版本及其性质
本文考虑了Kumaraswamy修正逆威布尔分布的一个扩展版本,并通过推导累积分布函数、可靠性函数、危险率函数、分位数函数、特征函数、原始矩、中位数、众数等的表达式,研究了它的一些理论性质。给出了该分布的可靠度测度及其阶数统计量的分布和矩量。讨论了分布参数的极大似然估计,并给出了一些实际数据应用来说明该模型的有效性。此外,借助模拟数据集表明,随着样本量的增加,最大似然估计的平均偏差和均方误差呈递减趋势。
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
Statistica
Statistica STATISTICS & PROBABILITY-
CiteScore
1.70
自引率
0.00%
发文量
0
审稿时长
10 weeks
期刊最新文献
A New Discrete Distribution: Properties, Characterizations, Modeling Real Count Data, Bayesian and Non-Bayesian Estimations Polynomial Columns-Parameter Symmetry Model and its Decomposition for Square Contingency Tables A Class of Univariate Non-Mesokurtic Distributions Using a Continuous Uniform Symmetrizer and Chi Generator The Marshall-Olkin Gompertz Distribution: Properties and Applications Estimation of Cumulative Incidence Function in the Presence of Middle Censoring Using Improper Gompertz Distribution
×
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