Robust-regression-type estimators for improving mean estimation of sensitive variables by using auxiliary information-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Robust-regression-type estimators for improving mean estimation of sensitive variables by using auxiliary information

Published:2019-08-02 Issue:4 Volume:50 Page:979-992
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Ali Nasir¹²,Ahmad Ishfaq¹³^ORCID,Hanif Muhammad²,Shahzad Usman²

Affiliation:

1. Department of Statistics and Mathematics, International Islamic University, Islamabad, Pakistan;

2. Department of Mathematics and Statistics, PMAS-Arid Agriculture University, Rawalpindi, Pakistan;

3. Department of Mathematics, King Khalid University, Abha, Saudi Arabia

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2019.1645857

Reference26 articles.

1. Some estimators of a finite population mean using auxiliary information

2. A note on randomized response models for quantitative data

3. A General Qualitative Definition of Robustness

4. Robust Estimation of a Location Parameter

Cited by 42 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. Enhancing estimation efficiency with proposed estimator: A comparative analysis of Poisson regression-based mean estimators;Kuwait Journal of Science;2025-01

2. A new family of robust quantile-regression-based mean estimators using Sarndal approach;Communications in Statistics - Simulation and Computation;2024-06-04

3. Efficiency study of a robust regression-type estimator for population mean under different ranked set sampling methods with outlier handling;Brazilian Journal of Probability and Statistics;2024-06-01

4. Modified correlated measurement errors model for estimation of population mean utilizing auxiliary information;Scientific Reports;2024-05-15

5. New robust class of estimators for population mean under different sampling designs;Journal of Computational and Applied Mathematics;2024-05

同舟云学术

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