Open Access Open Access  Restricted Access Subscription Access

A Generalized Ratio in Regression Type Estimator for Population Mean Using Auxiliary Variables in the Presence of Non-Response

B.B. Khare, Habib Ur Rehman

Abstract


A generalized ratio in regression estimator for population mean using auxiliary characters has been proposed and its properties have been studied. A comparative study of the proposed estimator has been made with the relevant estimators. For optimum value of , the proposed estimator is found to be more efficient than the relevant estimators which is supported by the empirical study. A range for alpha has been obtained for which the proposed estimator is more efficient than relevant estimators.

Keywords


Bias; Mean square error; Two phase sampling; Auxiliary variable; Non-response.

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.