Calibration estimators for quantitative sensitive mean estimation under successive sampling
Abstract The problem of estimation of sensitive population mean has been investigated using the item sum technique (IST) with calibration estimators in two occasion successive sampling. Generic sampling design have been assumed at each occasion to define calibration estimators. Properties of the proposed estimators has been discussed including asymptotic variance. Different possible allocation designs for allocating long list and short list samples pertaining to IST has been elaborated. Simulation study using a natural population has also been added to substantiate the theoretical results.