Open Access Open Access  Restricted Access Subscription Access

Estimation of Population Mean Using Auxiliary Attribute through Factor Type Estimator

Abhishek Kumar, Ajeet Kumar Singh, Priyanka Singh, V.K. Singh


In this paper, a one parameter family of estimators, commonly known as Factor-type (F-T) estimator, has been proposed for estimating population mean of a variable by using the population proportion of an attribute as auxiliary information. The expressions for Bias and Mean squared error of the proposed estimator have been evaluated up to first order of approximation. To show that our proposed estimator is more efficient as compared to some existing estimators, we have made a comparative study with respect to their mean square errors. Numerical illustrations are given in support of the present study.


Factor type estimator, Bias, Mean Square Error, Simple Random Sampling, Auxiliary attribute

Full Text:


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.