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A Generalized Class of Ratio-Cum-Dual to Ratio Estimators of Finite Population Mean Using Auxiliary Information in Sample Surveys |
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PP: 203-211 |
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doi:10.18576/msl/050215
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Author(s) |
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Housila P. Singh,
Surya Kant Pal,
Vishal Mehta,
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Abstract |
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| In this paper, we have suggested a general class of ratio-cum-dual to ratio type estimators of finite population
mean using an auxiliary variable, (say x ) that is correlated with the variable of interest (say y ). The proposed class of
estimators includes several known estimators based on transformation in auxiliary variable x . The bias and mean squared
error (MSE) expressions of the proposed class of estimators have been obtained to the first degree of approximation. We
have compared the generalized ratio-cum-dual to ratio type estimators of finite population mean to the usual unbiased
estimator and various existing ratio, product and ratio-cum-product type estimators. It is found that the suggested
estimators are better than other existing estimators under some realistic conditions. Numerical illustrations are given in
support of the present study. |
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