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A Simulation Study of Estimation of Finite Population Mean Using a Single Auxiliary Information in Double Sampling
Abstract
The goal of this work is to solve the conundrum of calculating the finite population mean in two-phase sampling from a single piece of auxiliary data. For the estimate of the finite population mean, we have here developed an estimator of the exponential ratio type. Up to the first level of approximation, the suggested estimator`s mean square error has been expressed. The suggested estimator has been contrasted with various classic estimators that are already in use. It has been determined if the suggested estimate is preferable by taking into account both an empirical investigation and a simulation analysis. It has been found that in all circumstances, the suggested exponential ratio-type estimator is more practical than the current estimators.
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