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A class of almost unbiased estimators of population mean using auxiliary variable and auxiliary attribute in systematic sampling

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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.

Keywords: class; unbiased estimators; almost unbiased; class almost; population mean; systematic sampling

Journal Title: Journal of Statistical Theory and Practice
Year Published: 2018

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