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

  • Prabhakar mishra Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, India
  • Rajesh Singh Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, India
  • Supriya Khare Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, India
Keywords: Bias, Mean Square Error, Auxiliary information, Double Sampling, Unbiased Estimator

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.

 

Published
2019-10-10
Section
Articles