A class of chain ratio-cum-difference estimator is defined for finite population mean using two auxiliary variates in double sampling. Asymptotic expressions for its bias and mean square error have been obtained. It has been shown that the proposed class of estimators is more efficient than the sample mean, Chand's (1975) Chain ratio estimator and Srivastava et al (1990) estimator. An empirical study is also included.
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Cite this article:
Singh (1993). A chain ratio-cum-difference estimator using two auxiliary variates in double sampling. Journal of Ravishankar University (Part-B: Science), 6(1), pp. 79-83.