  In the present study, we propose estimators based on geometric and harmonic
mean for estimating population mean using information on two auxiliary
attributes in simple random sampling. We have shown that, when we have
multi-auxiliary attributes, estimators based on geometric mean and harmonic
mean are less biased than Olkin (1958), Naik and Gupta (1996) and Singh (1967)
type- estimator under certain conditions. However, the MSE of Olkin(1958)
estimator and geometric and harmonic estimators are same up to the first order
of approximation.

Applications