make no difference. However, the small sample properties can differ. We explore small sample power and estimation bias both …) in the auxiliary model. We find that both power and bias are similar when the number of variables used is the same …. Raising the number of variables lowers the bias but may also raise the power unacceptably because it lowers the chances of …

study variable, by incorporating two auxiliary variables in twophase (double) sampling. The bias and the mean square error …

for population variance using information on population variance of x. The bias and mean squared error of the suggested …

doing so, renders trivial any remaining meta-analysis bias. Our simulations also reveal that these meta-analysis biases are …-analyzed in standard ways with only negligible bias. However, in other fields in the social and the medical sciences that are …

incomplete sample. The proposed strategies were found to be more efficient and bias-controllable than similar estimation …

the finite population mean under a two-phase sampling system. The Bias and Mean Square Error (MSE) of the proposed … exponential regression cum ratio estimator when compared using the cri- teria of bias, mean square error and percentage relative …