A new ratio estimator in stratified random sampling


KADILAR C., Cingi H.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, vol.34, no.3, pp.597-602, 2005 (SCI-Expanded) identifier identifier

Abstract

In this article, we suggest a new ratio estimator in stratified random sampling based on the Prasad (1989) estimator. Theoretically, we obtain the mean square error (MSE) for this estimator and compare it with the MSE of traditional combined ratio estimate. By this comparison, we demonstrate that proposed estimator is more efficient than combined ratio estimate in all conditions. In addition, this theoretical result is supported by a numerical example.