A Class of Estimators for Finite Population Mean in Double Sampling under Nonresponse Using Fractional Raw Moments

Joint Authors

Hussain, Zawar
Khan, Manzoor
Shabbir, Javid
al-Zahrani, Bander

Source

Journal of Applied Mathematics

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-08-18

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Mathematics

Abstract EN

This paper presents new classes of estimators in estimating the finite population mean under double sampling in the presence of nonresponse when using information on fractional raw moments.

The expressions for mean square error of the proposed classes of estimators are derived up to the first degree of approximation.

It is shown that a proposed class of estimators performs better than the usual mean estimator, ratio type estimators, and Singh and Kumar (2009) estimator.

An empirical study is carried out to demonstrate the performance of a proposed class of estimators.

American Psychological Association (APA)

Khan, Manzoor& Shabbir, Javid& Hussain, Zawar& al-Zahrani, Bander. 2014. A Class of Estimators for Finite Population Mean in Double Sampling under Nonresponse Using Fractional Raw Moments. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-460076

Modern Language Association (MLA)

Khan, Manzoor…[et al.]. A Class of Estimators for Finite Population Mean in Double Sampling under Nonresponse Using Fractional Raw Moments. Journal of Applied Mathematics No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-460076

American Medical Association (AMA)

Khan, Manzoor& Shabbir, Javid& Hussain, Zawar& al-Zahrani, Bander. A Class of Estimators for Finite Population Mean in Double Sampling under Nonresponse Using Fractional Raw Moments. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-460076

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-460076