A Better Alternative to the Generalized Bilal Distribution: A New Model and Applications

IF 0.9 Q3 ENGINEERING, MULTIDISCIPLINARY International Journal of Reliability Quality and Safety Engineering Pub Date : 2023-10-21 DOI:10.1142/s0218539323500274
Ayman M. Abd-Elrahman
{"title":"A Better Alternative to the Generalized Bilal Distribution: A New Model and Applications","authors":"Ayman M. Abd-Elrahman","doi":"10.1142/s0218539323500274","DOIUrl":null,"url":null,"abstract":"In 2017, A. M. Abd-Elrahman [A new two-parameter lifetime distribution with decreasing, increasing or upside-down bathtub-shaped failure rate, Commun. Stat. - Theory Methods 46 (2017) 8865–8880, doi:10.1080/03610926.2016.1193198] introduced a generalization of the Bilal distribution, where a new two-parameter distribution, generalized Bilal distribution (GBD), was presented. He showed that its failure rate function can be upside-down bathtub-shaped. The failure rate can either be decreasing or increasing due to some mathematical and statistical reasons, which will be given below. In this paper, we introduce a simple and better alternative to the GBD, which will be denoted by WMD. We show that the WMD is a two-parameter distribution which can fit five different types of data sets with respect to their empirical hazard rate functions. Most properties of the WMD are investigated. Point and interval estimation procedures for the two unknown parameters are presented. The existence and uniqueness of the maximum likelihood estimates are proved. The moment estimates are obtained and we showed that one of these estimates is the minimum variance unbiased estimate (MVUE) for its corresponding parameter. A simulation study is provided and the paper is motivated by applications to four different real data sets. A detailed analysis for the Meeker and Escobar data is provided by the book of Meeker and Escobar [Statistical Methods for Reliability Data, 2nd edn. (John Wiley, 1998)]. The results may show that the new distribution provides a better fit than some other most recent existing and already known distributions in the literature. Finally, some concluding remarks are presented.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Reliability Quality and Safety Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s0218539323500274","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

In 2017, A. M. Abd-Elrahman [A new two-parameter lifetime distribution with decreasing, increasing or upside-down bathtub-shaped failure rate, Commun. Stat. - Theory Methods 46 (2017) 8865–8880, doi:10.1080/03610926.2016.1193198] introduced a generalization of the Bilal distribution, where a new two-parameter distribution, generalized Bilal distribution (GBD), was presented. He showed that its failure rate function can be upside-down bathtub-shaped. The failure rate can either be decreasing or increasing due to some mathematical and statistical reasons, which will be given below. In this paper, we introduce a simple and better alternative to the GBD, which will be denoted by WMD. We show that the WMD is a two-parameter distribution which can fit five different types of data sets with respect to their empirical hazard rate functions. Most properties of the WMD are investigated. Point and interval estimation procedures for the two unknown parameters are presented. The existence and uniqueness of the maximum likelihood estimates are proved. The moment estimates are obtained and we showed that one of these estimates is the minimum variance unbiased estimate (MVUE) for its corresponding parameter. A simulation study is provided and the paper is motivated by applications to four different real data sets. A detailed analysis for the Meeker and Escobar data is provided by the book of Meeker and Escobar [Statistical Methods for Reliability Data, 2nd edn. (John Wiley, 1998)]. The results may show that the new distribution provides a better fit than some other most recent existing and already known distributions in the literature. Finally, some concluding remarks 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
广义双侧分布的一个更好的选择:一个新的模型和应用
2017, A. M. Abd-Elrahman[浴缸形故障率降低、增加或倒置的新双参数寿命分布],文献。Stat. - Theory Methods 46 (2017) 8865-8880, doi:10.1080/03610926.2016.1193198]引入了Bilal分布的泛化,其中提出了一种新的双参数分布,即广义Bilal分布(GBD)。他展示了它的故障率函数可以是倒置的浴缸形状。由于一些数学和统计原因,故障率可能会降低或增加,下面将给出这些原因。在本文中,我们介绍了一种简单而更好的替代GBD的方法,用WMD表示。我们证明了WMD是一个双参数分布,它可以拟合五种不同类型的数据集的经验危险率函数。研究了大规模杀伤性武器的大多数性质。给出了两个未知参数的点估计和区间估计方法。证明了极大似然估计的存在唯一性。得到了矩估计,并证明了其中一个估计是相应参数的最小方差无偏估计(MVUE)。本文通过对四个不同的真实数据集的应用进行了仿真研究。对Meeker和Escobar数据的详细分析由Meeker和Escobar的书[可靠性数据的统计方法,第2版]提供。(约翰·威利,1998)。结果可能表明,新的分布比文献中其他一些最新存在的和已知的分布提供了更好的拟合。最后,本文作了总结。
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
CiteScore
1.70
自引率
25.00%
发文量
26
期刊介绍: IJRQSE is a refereed journal focusing on both the theoretical and practical aspects of reliability, quality, and safety in engineering. The journal is intended to cover a broad spectrum of issues in manufacturing, computing, software, aerospace, control, nuclear systems, power systems, communication systems, and electronics. Papers are sought in the theoretical domain as well as in such practical fields as industry and laboratory research. The journal is published quarterly, March, June, September and December. It is intended to bridge the gap between the theoretical experts and practitioners in the academic, scientific, government, and business communities.
期刊最新文献
Introducing the detailed semantic interface description to support a modular safety approval of automated vehicles – S 2 I 2 A SaaS Concept Based Shopping Center Fire Risk Assessment Model for the Safety Management Applications OSS Sustainability Assessment Based on the Deep Learning Considering Effort Wiener Process Data A Study on the Prediction of COVID-19 Confirmed Cases Using Deep Learning and AdaBoost-Bi-LSTM model Assessment of emergency risk management and resilience engineering at management levels of a high hazard industry
×
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