On the Use of One-Parameter Family of Synthetic Estimators for Small Areas

Authors

V. K. Singh, Department of Statistics, Banaras Hindu University, Varanasi 221005, IndiaFollow
S. K. Seth

Author Country (or Countries)

India

Abstract

Small area estimation (SAE) has received a lot of concern of sample survey statisticians in last few years in want of reliable small area statistics which is generally not possible to get by traditional area-specific direct estimators due to very small size of samples in small area. This paper has been devoted to the development of an efficient sampling strategy by suggesting a one-parameter class of estimators for the estimation of parameters of small area using one auxiliary characteristic. The suggested class provides a class of synthetic estimators. Certain important properties have been discussed with. In order to demonstrate the superiority of the suggested estimators over some existing synthetic estimators, a simulation study has been carried out with the help of an empirical data.

Suggested Reviewers

N/A

Recommended Citation

K. Singh, V. and K. Seth, S. (2014) "On the Use of One-Parameter Family of Synthetic Estimators for Small Areas," Journal of Statistics Applications & Probability: Vol. 3: Iss. 3, Article 6.
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol3/iss3/6