AN IMPROVED CLASS OF RATIO ESTIMATORS FOR ESTIMATING POPULATION MEAN USING AUXILIARY INFORMATION IN SURVEY SAMPLING
The use of ancillary information in sample survey is to get gain in precision of estimates. However, various estimators have been developed using other conventional locations parameters, in the present paper we have proposed some new estimators by using the ancillary information of decile mean, second quartile and quartile deviation with other measures of population such as skewness, coefficient of correlation, coefficient of variation of the concomitant variable. The performance linked among the anticipated estimators are determined by MSE (mean square error) and Bias and compare by means of usual ratio estimator by Cochran (1940) and with existing estimators proposed via Abid et al. in (2016a, 2016b). With this evaluation we initiate with the aim of that our anticipated estimators are proficient set of estimators than the ratio estimator by Cochran (1940) and the existing estimators via Abid et al. in (2016a, 2016b). Numerical study is provided to hold up the theoretical results.