Some Log-Type Classes of Estimators using Multiple Auxiliary Information

In this paper, some classes of log-type estimators using information on two auxiliary variables have been proposed for estimating the population mean of the study variable It has been shown that these classes of log-type estimators have lesser mean square error under the optimum values of the characterizing scalars as compared to some of the commonly used estimators available in the literature. Further, an extension of the proposed classes using multiple auxiliary information have also initiated in this article. A numerical study is included as an illustration using two auxiliary variables.