Improved Estimators of the Finite Universe Variance and Mean Using Ancillary Variable in Sample Surveys
The task of estimating the finite universe variance and mean of the main variable using ancillary variable have been considered. We have suggested estimators for variance and mean and studied their properties. The superiority of the envisaged estimators over conventional unbiased estimator, Singh et al. (1973) and Searls and Intarapanich (1990) and Kadilar and Cingi (2007) estimators have been discussed. We have also obtained the situation under which the recommended estimator is better than Isaki’s (1983) ratio estimator. It is interesting to mention that the recommended estimators can be used as the family of estimators of the universe variance and mean.
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.