Ratio-Cum-Product Estimators of Population Mean Using Known Population Parameters of Auxiliary Variates Tailor, Rajesh; Parmar, Rajesh; Kim, Jong-Min; Tailor, Ritesh;
This paper suggests two ratio-cum-product estimators of finite population mean using known coefficient of variation and co-efficient of kurtosis of auxiliary characters. The bias and mean squared error of the proposed estimators with large sample approximation are derived. It has been shown that the estimators suggested by Upadhyaya and Singh (1999) are particular case of the suggested estimators. Almost ratio-cum product estimators of suggested estimators have also been obtained using Jackknife technique given by Quenouille (1956). An empirical study is also carried out to demonstrate the performance of the suggested estimators.
Ratio-cum-product estimator;population mean;coefficient of variation;coefficient of kurtosis;bias;mean squared error;