Calibration approach for estimating finite population parameters in two-stage sampling

Abstract

In this article a calibration estimator for finite population total has been developed in two-stage sampling when the auxiliary information is available at the element level for the only selected first-stage units in the random sample. The expression for the variance of the estimator is also obtained. Empirical studies based on both generated and real data show that calibration approach of estimation has brought considerable improvement in both bias and precision of the estimators.