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- W2019335088 abstract "In this paper, a difference-in-regression estimator is proposed by using two auxiliary variables in simple random sampling. Variance of proposed estimator up to the first order of approximation is compared with other competing estimators. Additionally, by taking the known value of one of the population regression coefficients, another version of the proposed estimator is also obtained. The proposed estimator is found optimum in the class of estimators based on two auxiliary variables. A simulation study is carried out in support with theoretical results. If only the means of auxiliary variables are available, another estimator can be obtained for large trivariate normal population." @default.
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- W2019335088 date "2013-12-02" @default.
- W2019335088 modified "2023-09-25" @default.
- W2019335088 title "On Optimum Regression Estimator for Population Mean Using Two Auxiliary Variables in Simple Random Sampling" @default.
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- W2019335088 doi "https://doi.org/10.1080/03610918.2012.735320" @default.
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