Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors-Reference-Cited by-同舟云学术

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Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors

Published:2019-02-11 Issue:2 Volume:14 Page:e0212111
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Zahid Erum^ORCID,Shabbir Javid

Funder

HEC fellowship

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference24 articles.

1. Errors of measurement in statistics;WG Cochran;Technometrics,1968

2. Estimation in the presence of measurement error;WA Fuller;International Statistical Review/Revue Internationale de Statistique,1995

3. Ratio method of estimation in the presence of measurement errors;S Shalabh;Jour Ind Soc Agri Statist,1997

4. Measurement Errors in Surveys;PP Biemer,2011

5. An estimator for mean estimation in presence of measurement error;D Shukla;Research and Reviews: A Journal of Statistics,2012

Cited by 22 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. Estimation of finite population mean of a sensitive variable using three-stage optional RRT in the presence of non-response and measurement errors;Journal of Statistical Computation and Simulation;2024-06-04

2. Estimation of heterogeneous population variance using memory-type estimators based on EWMA statistic in the presence of measurement error for time-scaled surveys;Communications in Statistics - Simulation and Computation;2024-04-29

3. Calibration estimator for a sensitive variable using dual auxiliary information under measurement errors;Communications in Statistics - Theory and Methods;2024-03-07

4. Estimation of Finite Population Variance Under Stratified Sampling in the Presence of Measurement Errors;Measurement: Interdisciplinary Research and Perspectives;2024-02-29

5. Memory-type variance estimators using exponentially weighted moving average statistic in presence of measurement error for time-scaled surveys;PLOS ONE;2023-11-09

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