Open Access Open Access  Restricted Access Subscription or Fee Access

An Improved Estimator of the Population Mean under Double Sampling using Median

R. E. Kurbah, P. Khongji

Abstract



It is a well-known fact that the utilization of auxiliary information for estimating a parameter of a study variable enhances the efficiency of the estimator. In this paper, we have considered a regression estimator under doubling sampling involving two auxiliary variables which makes use of the sample mean and sample median of the auxiliary variables of both phases. It is found that the proposed estimator is more efficient than the one proposed by Vadlamudi (2017) with one auxiliary variable. The study was tested empirically using simulated data. The study is also generalized for k(greater than 1) variables.

Keywords


Sampling; Auxiliary variable; Regression estimator; Double Sampling; Median estimation.

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.