Weibull-H-NHE分布及其在COVID-19数据集上的应用

Lal Babu Sah Telee
{"title":"Weibull-H-NHE分布及其在COVID-19数据集上的应用","authors":"Lal Babu Sah Telee","doi":"10.3126/nccj.v5i1.56952","DOIUrl":null,"url":null,"abstract":"A new three parameters univariate continuous distribution called Weibull-H-NHE distribution on COVID-19 data with Properties and Applications on COVID-19 data using Weibull-Hclass of distribution is introduced here. Some major properties of model with application on covid-19 data are presented in study. Different curves like probability density, hazard rate, and empirical distribution etc. are included in the study. Parameters are estimated by using method of least square. Model validation is tested by calculating different information criteria values as well as using Q-Q and P-P plots. The applicability of the model is tested on three sets of real data sets. Model application is checked by considering their real data set. All the calculations are done using the R language programming.","PeriodicalId":403873,"journal":{"name":"NCC Journal","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Weibull-H-NHE distribution with properties and applications on COVID-19 dataset\",\"authors\":\"Lal Babu Sah Telee\",\"doi\":\"10.3126/nccj.v5i1.56952\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new three parameters univariate continuous distribution called Weibull-H-NHE distribution on COVID-19 data with Properties and Applications on COVID-19 data using Weibull-Hclass of distribution is introduced here. Some major properties of model with application on covid-19 data are presented in study. Different curves like probability density, hazard rate, and empirical distribution etc. are included in the study. Parameters are estimated by using method of least square. Model validation is tested by calculating different information criteria values as well as using Q-Q and P-P plots. The applicability of the model is tested on three sets of real data sets. Model application is checked by considering their real data set. All the calculations are done using the R language programming.\",\"PeriodicalId\":403873,\"journal\":{\"name\":\"NCC Journal\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NCC Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3126/nccj.v5i1.56952\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NCC Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3126/nccj.v5i1.56952","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

本文介绍了一种新的三参数单变量连续分布Weibull-H-NHE分布,该分布具有Weibull-H-NHE分布的性质及其在新冠肺炎数据中的应用。研究了应用于covid-19数据的模型的一些主要性质。不同的曲线,如概率密度、危险率、经验分布等都被纳入研究。采用最小二乘法对参数进行估计。通过计算不同的信息准则值以及使用Q-Q和P-P图来检验模型的有效性。在三组实际数据集上验证了模型的适用性。结合实际数据集对模型的应用进行了验证。所有的计算都是用R语言编程完成的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weibull-H-NHE distribution with properties and applications on COVID-19 dataset
A new three parameters univariate continuous distribution called Weibull-H-NHE distribution on COVID-19 data with Properties and Applications on COVID-19 data using Weibull-Hclass of distribution is introduced here. Some major properties of model with application on covid-19 data are presented in study. Different curves like probability density, hazard rate, and empirical distribution etc. are included in the study. Parameters are estimated by using method of least square. Model validation is tested by calculating different information criteria values as well as using Q-Q and P-P plots. The applicability of the model is tested on three sets of real data sets. Model application is checked by considering their real data set. All the calculations are done using the R language programming.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信