Modified Direct Regression Estimator for Domain Mean Using Auxiliary Character
In this paper, we have proposed a modified direct regression estimator for domain mean using auxiliary character in two cases, in the first case, domain mean of auxiliary character is known, and in the second case, domain mean of the auxiliary character is not known. The proposed estimator for domain mean is compared theoretically with direct ratio estimator for domain mean and direct regression estimator for domain mean in two cases. An empirical study of the proposed estimator is compared with direct ratio estimator for domain mean and direct regression estimator for domain mean using data Sarndal ((1992), appendix B) and also through simulation study. The proposed estimator is found to be more efficient than relevant estimators theoretically, empirical and also through simulation in both cases.
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.