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MODIFIED EXPONENTIAL DUAL-TO-RATIO TYPE ESTIMATOR OF FINITE POPULATION MEAN WITH IMPUTATION OF MISSING DATA IN CASE OF TWO AUXILIARY VARIABLES UNDER SIMPLE RANDOM SAMPLING
Keywords:
bias, mean square error, imputation, simple random sampling, exponential estimatorDOI:
https://doi.org/10.17654/0972361724074%20Abstract
This work intends to address the issue of missing data by estimating the study variable’s finite population mean with the help of two auxiliary variables using a modified exponential dual-to-ratio type imputation method and corresponding point estimator under simple random sampling. In terms of parameters, the ideal Bias and Mean Square Error (MSE) are determined. The effectiveness of the suggested estimator over various existing estimators has been shown through theoretical and empirical work.
Received: April 23, 2024
Accepted: July 24, 2024
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