International Journal of Statistics and Applied Mathematics
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal

International Journal of Statistics and Applied Mathematics

2021, Vol. 6, Issue 6, Part A

On a method of estimating variance of the product estimator


Author(s): RK Sahoo, Ajit Kumar Sabat, RK Nayak and LN Sahoo

Abstract: In this paper, we explore a new estimation technique for estimating variance of the conventional product estimator under simple random sampling assuming that the population mean and population variance of the auxiliary variable are known prior to sampling. Accordingly, we formulate some new variance estimators under classical as well as predictive approach. We test capabilities of our estimators empirically by means of a simulation study in respect of bias, efficiency, coverage rate based on 95% confidence interval and stability.

Pages: 16-23 | Views: 128 | Downloads: 22

Download Full Article: Click Here
How to cite this article:
RK Sahoo, Ajit Kumar Sabat, RK Nayak, LN Sahoo. On a method of estimating variance of the product estimator. Int J Stat Appl Math 2021;6(6):16-23.
Call for book chapter
International Journal of Statistics and Applied Mathematics