利用双辅助变量指数估计改进回归估计

Q3 Mathematics

Journal of Modern Applied Statistical Methods Pub Date : 2023-02-17 DOI:10.56801/jmasm.v22.i1.1

None Sachin Malik, None Kanika, None Atul

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引用次数: 0

摘要

对于简单随机抽样的情况，我们引入了一个新的总体均值回归估计量，该回归估计量具有两个辅助变量的支持值。给出了新形式回归估计量的均方误差(MSE)的计算结果。通过数值算例对均方误差结果进行了验证。结果表明，对于两个辅助变量，所引入的估计量比传统的比率估计量和回归估计量具有更小的均方误差。

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An Improvement in Regression Estimator Through Exponential Estimator using Two Auxiliary Variables

For the case of simple random sampling, we are introducing a new regression estimator for the population mean with the supporting values of two auxiliary variables. The results for the mean square error (MSE) of the new form of regression estimator is fined. The mean square error’s results have also been checked through numerical illustration. It is observed that our introduced estimator is having less mean square error than the traditional ratio and regression estimator for two auxiliary variables.

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来源期刊

Journal of Modern Applied Statistical Methods STATISTICS & PROBABILITY-

CiteScore

0.50

自引率

0.00%

发文量

期刊介绍： The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.