Estimation of population variance in two-phase (double) sampling is considered using information on multiple auxiliary variables. An unbiased estimator is proposed and its properties are studied under two different structures. The superiority of the suggested estimator over some contemporary estimators of population variance was established through empirical studies from a natural and an artificially generated dataset.
Maji, R., Singh, G. N., & Bandyopadhyay, A. (2017). Effective estimation strategy of finite population variance using multi-auxiliary variables in double sampling. Journal of Modern Applied Statistical Methods, 16(1), 158-178. doi: 10.22237/jmasm/1493597340