Generalized Dual to Ratio-cum-Product Type Estimators in Double Sampling for Stratificatio
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Authors
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Med Ram Verma
ICAR-Indian Veterinary Research Institute, Izatnagar
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Hilal A. Lone
Govt. Degree College Baramulla, J&K, India
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Rajesh Tailor
Vikram University Ujjain
Keywords:
Double sampling for stratification, Mean square error.Abstract
Double sampling for stratification is a statistical technique used in survey sampling to improve the efficiency of estimating population parameters estimates. In the present paper we have proposed a generalized dual to ratio-cum-product type estimator of population mean. The expression for the MSE (Mean Square Error) of the proposed estimator has been derived upto first degree of approximation. The comparison of the proposed estimator with Ige and Tripathi (1987) and Lone et al. (2020) estimators in double sampling for stratification indicated that proposed estimator is more efficient than the other estimators given in the literature. Motivated by Tailor and Lone (2014), the generalised version of the proposed estimator is also suggested in the present paper. The empirical study indicated that the proposed estimator is more efficient than the other estimators
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References
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