使用两个辅助变量的修正回归类型估计器

Journal of Ravishankar University (PART-B) Pub Date : 2023-12-31 DOI:10.52228/jrub.2023-36-2-3

Vyas Dubey, Yeesha Verma

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摘要

本文提出了一种改进的回归型估计器，用于在简单随机抽样条件下使用两个辅助变量估计总体均值。本文确定了所提估计器的最佳属性，并发现所提估计器比 Desraj (1965) 和 Srivastva (1967) 更有效。我们还进行了实证研究，以证明所提估计器的效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Modified Regression Type Estimator Using Two Auxiliary Variables

In this paper, a modified regression type estimator has been proposed for estimating population mean using two auxiliary variables under simple random sampling. The optimum properties of proposed estimator is determined and we find that the proposed estimator is more efficient than the Desraj (1965) and Srivastva (1967). Empirical studies have also done to demonstrate the efficiency of the proposed estimator.

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Journal of Ravishankar University (PART-B)

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