Kuldeep Kumar Tiwari https://orcid.org/0000-0001-5083-1206 , Vishwantra Sharma https://orcid.org/0000-0001-7387-0670

© K. K. Tiwari, V. Sharma. Article available under the CC BY-SA 4.0 licence


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In real-world surveys, non-response and measurement errors are common, therefore studying them together seems rational. Some population mean estimators are modified and studied in the presence of non-response and measurement errors. Bias and mean squared error expressions are derived under different cases. For all estimators, a theoretical comparison is made with the sample mean per unit estimator. The Monte-Carlo simulation is used to present a detailed picture of all estimators’ performance.


non-response, measurement error, mean squared error, efficiency, mean estimation


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