ESTIMATION OF RARE SENSITIVE PARAMETER UNDER POISSON APPROXIMATION USING STRATIFIED THREE STAGE RANDOMIZED RESPONSE MODEL

IF 0.3 Q4 MULTIDISCIPLINARY SCIENCES
K. U. I. Rather, T. A. Tarray
{"title":"ESTIMATION OF RARE SENSITIVE PARAMETER UNDER POISSON APPROXIMATION USING STRATIFIED THREE STAGE RANDOMIZED RESPONSE MODEL","authors":"K. U. I. Rather, T. A. Tarray","doi":"10.46939/j.sci.arts-22.4-a05","DOIUrl":null,"url":null,"abstract":"This study investigates the process for estimating the mean number of individuals having rare sensitive attribute in stratified random sampling for known population using Poisson distribution. The properties of the suggested estimation procedures are deeply examined. Empirical studies are performed to support the theoretical results, which show the dominance of the proposed estimators over well-known existing estimators. The results are interpreted and suitable recommendations have been put forward to the survey practitioners.","PeriodicalId":54169,"journal":{"name":"Journal of Science and Arts","volume":" ","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Science and Arts","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46939/j.sci.arts-22.4-a05","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

This study investigates the process for estimating the mean number of individuals having rare sensitive attribute in stratified random sampling for known population using Poisson distribution. The properties of the suggested estimation procedures are deeply examined. Empirical studies are performed to support the theoretical results, which show the dominance of the proposed estimators over well-known existing estimators. The results are interpreted and suitable recommendations have been put forward to the survey practitioners.
用分层三阶段随机响应模型估计POISSON近似下的稀有敏感参数
本研究调查了使用泊松分布在已知人群的分层随机抽样中估计具有罕见敏感属性的平均个体数的过程。对所提出的估计程序的性质进行了深入的研究。进行了实证研究来支持理论结果,这些结果表明所提出的估计量优于已知的现有估计量。对调查结果进行了解释,并向调查从业人员提出了适当的建议。
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 求助全文
来源期刊
Journal of Science and Arts
Journal of Science and Arts MULTIDISCIPLINARY SCIENCES-
自引率
25.00%
发文量
57
×
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