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Efficient estimation of population mean in the presence of non-response and measurement error

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Tiwari K. K., Sharma V.
Statistics in Transition new series
|
2023
|
vol. 24
|
issue 3
95-116
EN
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.
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