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Improved Ratio Type Estimator Using Two Auxiliary Variables under Second Order Approximation
Journal: Mathematical Journal of Interdisciplinary Sciences (Vol.2, No. 2)Publication Date: 2014-03-03
Authors : Prayas Sharma; Rajesh Singh;
Page : 179-190
Keywords : simple random sampling; population mean; study variable; auxiliary variable; ratio type estimator; product estimator; Bias and MSE.;
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- Improved Ratio Type Estimator Using Two Auxiliary Variables under Second Order Approximation
- AN IMPROVED RATIO TYPE PREDICTIVE ESTIMATOR FOR ESTIMATING FINITE POPULATION MEAN USING AUXILIARY INFORMATION
- Improved Ratio Type Estimators Using Auxiliary Attribute for Population Variance
- A Ratio-cum-Dual to Ratio Estimator of Population Variance Using Qualitative Auxiliary Information Under Simple Random Sampling
- EXPONENTIAL TYPE RATIO AND PRODUCT ESTIMATOR FOR RATIO OF TWO POPULATION MEANS
Abstract
In this paper, we have proposed a new Ratio Type Estimator using auxiliary information on two auxiliary variables based on Simple random sampling without replacement (SRSWOR). The proposed estimator is found to be more efficient than the estimators constructed by Olkin (1958), Singh (1965), Lu (2010) and Singh and Kumar (2012) in terms of second order mean square error.
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