Open Access Open Access  Restricted Access Subscription Access

An Efficient Class of Double Sampling Dual to Ratio Estimators of Population Mean in Sample Surveys

W. Warseen Chanu, Bhupendra Kumar Singh

Abstract


In this paper, an efficient class of dual to ratio estimators has been developed in double sampling to estimate the population mean of the study variable y. The bias and mean square error (MSE) of the proposed estimator has been obtained. The asymptotically optimum estimator (AOE) in this class has also been obtained along with its bias and MSE. A comparison has been made with the existing similar estimators theoretically and numerically to demonstrate the superiority of the proposed estimator.

Keywords


Dual to ratio estimator, Bias, Mean square error, Asymptotically optimum, Efficiency.

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. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.