Open Access Open Access  Restricted Access Subscription or Fee Access

Efficient Variance Estimation Strategy in Two-Occasion Successive Sampling

Reba Maji, G. N. Singh, Arnab Bandyopadhyay

Abstract



Variation in nature is inevitable; it is present everywhere in our day to day life. In the present manuscript, we are introducing a new class of estimators for estimating the variation phenomenon of a finite population with the help of an additional information under two-occasion rotation sampling scheme. Properties and efficiency of this class of estimators has been illustrated and its optimum replacement strategy has been established. The comparison between the proposed class of estimators with the sample variance estimator through empirical studies, carried over a few natural population datasets, suggests the soundness and usefulness of the proposed estimator in practice.

Keywords


Keywords: variance estimation, successive sampling, study variable, auxiliary variable, bias, mean square error.

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.