Open Access Open Access  Restricted Access Subscription or Fee Access

A Class of Exponential Regression type Estimators of Population Mean in Two- Phase sampling

A. Chatterjee, A. Bandyopadhyay, G.N. Singh

Abstract


This article deals with the problems of efficient estimation of population mean in two-phase (double) sampling. Using information on two auxiliary variables, a class of chainexponential to regression type estimators has been proposed and its properties are studied under two different structures of two-phase sampling. Superiority of suggested class of estimators over some existing ones is established through numerical illustration and graphical simulation. Suitable recommendations to the survey statistician are also made.

Keywords


Double sampling, study variable, auxiliary variable, chain-type, Exponential, regression, bias, variance, 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.