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基于预先显著性检验的回归型估计量AI 解读

If data on an auxiliary variable X correlated with the variable Y under study are available, regression-type estimators are often used to estimate the population mean μ y . An estimator based on a preliminary test of significance that chooses between the difference estimator and the regression estimator has been proposed. This article investigates the efficiency of the proposed regression-type estimator with respect to other regression-type estimators.

基于预先显著性检验的回归型估计量AI 解读

If data on an auxiliary variable X correlated with the variable Y under study are available, regression-type estimators are often used to estimate the population mean μ y . An estimator based on a preliminary test of significance that chooses between the difference estimator and the regression estimator has been proposed. This article investigates the efficiency of the proposed regression-type estimator with respect to other regression-type estimators.