New estimator outperforms traditional methods in estimating population variance!
The article introduces a new method to estimate the population variance of a study variable by using known values of other population parameters. The proposed estimator outperforms commonly used estimators like sample variance and Isaki ratio type estimators under optimal conditions. The researchers derived expressions for bias and mean square error of the new estimator and conducted an empirical study to illustrate its effectiveness.