Efficient estimation of population mean in the presence of non-response and measurement error
Kuldeep Kumar Tiwari, Vishwantra Sharma
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.
Year of publication: |
2023
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Authors: | Tiwari, Kuldeep Kumar ; Sharma, Vishwantra |
Published in: |
Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland. - Warszawa : GUS, ISSN 2450-0291, ZDB-ID 2235641-1. - Vol. 24.2023, 3, p. 95-116
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Subject: | non-response | measurement error | mean squared error | efficiency | mean estimation | Statistischer Fehler | Statistical error | Schätztheorie | Estimation theory | Data-Envelopment-Analyse | Data envelopment analysis |
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