Improved sampling strategies for finite population using auxiliary information

This paper advocates the problem of estimating the finite population mean in sample surveys. We have suggested the generalized class of estimators under Midzuno (1950) - Lahiri - Sen (1952) type sampling scheme and its properties are studied up to the first degree of approximation. Further, we compare the proposed sampling strategy with the mean per unit estimator, classical ratio estimator, product estimator, linear regression estimator and the generalized ratio estimator (Walsh) under the simple random sampling without replacement. Also, we find out the unbiased estimate of the variance. On the basis of suitable range information, we give some concluding remarks related to proposed sampling strategy. An empirical study is given in support of the present study.