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EXPONENTIAL CHAIN RATIO ESTIMATOR OF FINITE POPULATION MEAN WITH IMPUTATION OF MISSING DATA UNDER TWO-PHASE SAMPLING
Keywords:
auxiliary variable, two-phase sampling, chain ratio estimator, imputation, non-response, bias and mean square errorDOI:
https://doi.org/10.17654/0972361724059Abstract
In this paper, an efficient exponential chain ratio estimator for estimating finite population mean of the study character using imputation of missing data under two-phase sampling has been suggested. The bias and mean square error of the proposed estimator have been derived in two different cases. Theoretical and empirical studies have also been carried out to demonstrate the efficiency of the suggested estimator with respect to the estimators which utilizes the information on auxiliary variable.
Received: May 19, 2023
Revised: December 19, 2023
Accepted: June 29, 2024
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