ESTIMATION OF POPULATION VARIANCE IN LOG - PRODUCT TYPE ESTIMATORS UNDER DOUBLE SAMPLING SCHEME

Abstract

It is experienced that auxiliary information when suitably incorporated yields more efficient and precise estimates. Mishra et al. (2017) have introduced a log type estimator for estimating unknown population mean using ancillary information in simple random sampling. Here we propose an improved log-product type estimator for population variance under double sampling. Properties of the estimators are studied both mathematically and numerically. © 2019 Journal of Reliability and Statistical Studies. All rights reserved.