A general procedure for estimating the population mean in stratified sampling using auxiliary information

In this paper we have suggested a general procedure for estimating the population mean in stratified sampling using auxiliary information. A general class of estimators is defined with its properties under large sample approximation. In particular, various classes of estimators are identified as particular member of the suggested class. The correct version of the mean squared error of Kadilar and Cingi (2005) class of estimators is derived. It has been shown that the proposed class of estimators is better than Kadilar and Cingi (2005) estimator, usual unbiased estimator, usual combined ratio estimator ȳRC, combined product estimator ȳPC, Gangde et al. (1993) type estimator and Searls (1964) type estimator. Numerical illustration is given in support of present study.