排序集抽样中一种新的指数比率估计

IF 1.1 Q3 STATISTICS & PROBABILITY

Pakistan Journal of Statistics and Operation Research Pub Date : 2022-06-01 DOI:10.18187/pjsor.v18i2.3921

Rather Khalid, E. Koçyiğit, Ceren Ünal

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引用次数: 2

摘要

在本研究中，我们采用了Ünal和Kadilar(2021)的估计器族，在简单随机抽样无响应的情况下，使用指数函数来估计总体均值，并使用RSS(排名集抽样)方法估计总体均值。得到了相应估计量的均方误差和偏置方程，并从理论上证明了所提估计量比现有文献中的平均估计量更有效。此外，我们用真实的COVID-19真实数据以及不同分布和参数的模拟研究来支持这些理论结果。研究结果表明，该估计器的效率优于其他估计器。

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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New Exponential Ratio Estimator in Ranked Set Sampling

In this study, we adapted the families of estimators from Ünal and Kadilar (2021) using the exponential function for the population mean in case of non-response for simple random sampling for the estimation of the mean of the population with the RSS (ranked set sampling) method. The equations for the MSE and the bias of the adapted estimators are obtained for RSS and it in theory shows that the proposed estimator is additional efficient than the present RSS mean estimators in the literature. In addition, we support these theoretical results with real COVID-19 real data and conjointly the simulation studies with different distributions and parameters. As a result of the study, it was observed that the efficiency of the proposed estimator was better than the other estimators.

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来源期刊

Pakistan Journal of Statistics and Operation Research STATISTICS & PROBABILITY-

CiteScore

3.30

自引率

26.70%

发文量

期刊介绍： Pakistan Journal of Statistics and Operation Research. PJSOR is a peer-reviewed journal, published four times a year. PJSOR publishes refereed research articles and studies that describe the latest research and developments in the area of statistics, operation research and actuarial statistics.