In this article, we propose a class of almost unbiased estimators for estimating the finite population mean under systematic sampling when information on the auxiliary variable and the auxiliary attribute… Click to show full abstract
In this article, we propose a class of almost unbiased estimators for estimating the finite population mean under systematic sampling when information on the auxiliary variable and the auxiliary attribute is available. The proposed class of estimators is always more efficient than the usual mean estimator, ratio estimator, Niak and Gupta estimator, and Sahai and Ray estimator. Two real data sets are used for numerical comparison.
               
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