MODIFIED CLASSICAL AND INVERSE REGRESSION-ESTIMATORS IN CALIBRATION

Classical estimator in linear calibration does not have finite mean for fixed sample size while the inverse regression estimator is not consistent. Here, we investigate two modified estimators which circumvent the above mentioned problems. The various estimators are compared through simulation for small sample size and the asymptotic results are given for large sample size. Asymptotic confidence interval is also considered.