International Journal of Academic and Applied Research (IJAAR)   Year: 2019 | Volume: 3 | Issue: 11 | Page No.: 10-20 Generalized Ratio-Type Estimator For Population Variance Using Auxiliary Information In Simple Random Sampling Nazia Kanwal, Sumaira Ajmal Khan Abstract: This paper suggests a new generalized ratio-type estimator for population variance of study variable utilizing information obtained from two auxiliary variables. Empirically, the estimator proves more efficient than the usual unbiased estimator and the previously existing estimators of Isaki (1983), Upadhyaya and Singh (1999), Kadilar and Cingi (2006), Yadav et al. (2013). Efficiency of the new generalized estimators has been compared mathematically with that of Yadav et al. (2013). The empirical study supports the new estimators against above mentioned estimators.