Use of scrambled response model in estimating the finite population mean in presence of non response when coefficient of variation is known
Author:
Affiliation:
1. Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan
2. Department of Mathematics and Statistics, The University of North Carolina at Greensboro, Greensboro, North Carolina, USA
Publisher
Informa UK Limited
Subject
Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610926.2016.1183782
Reference19 articles.
1. An improved class of estimators for the population mean
2. Estimating a sensitive proportion through randomized response procedures based on auxiliary information
3. New scrambled response models for estimating the mean of a sensitive quantitative character
4. A class of estimators for quantitative sensitive data
5. Hansen and Hurwitz estimator with scrambled response on the second call
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Efficient generalized estimators of population mean in the presence of non-response and measurement error;Kuwait Journal of Science;2024-07
2. Improved estimator for the estimation of sensitive variable using ORRT models;Research in Statistics;2024-02-27
3. A Class of Logarithmic Type Estimator Under Non-Response and Measurement Error Using ORRT Models;Journal of the Indian Society for Probability and Statistics;2023-06-22
4. An Efficient Ratio-Cum-Exponential Estimator for Estimating the Population Distribution Function in the Existence of Non-Response Using an SRS Design;Mathematics;2023-03-08
5. Restructured searls family of estimators of population mean in the presence of nonresponse;Frontiers in Applied Mathematics and Statistics;2022-10-17
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3