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用于不等方差双样本截尾均值检验的近似样本量公式。

Approximate sample size formulas for the two-sample trimmed mean test with unequal variances.

作者信息

Luh Wei-Ming, Guo Jiin-Huarng

机构信息

Institute of Education, National Cheng Kung University, Taiwan.

出版信息

Br J Math Stat Psychol. 2007 May;60(Pt 1):137-46. doi: 10.1348/000711006X100491.

Abstract

Yuen's two-sample trimmed mean test statistic is one of the most robust methods to apply when variances are heterogeneous. The present study develops formulas for the sample size required for the test. The formulas are applicable for the cases of unequal variances, non-normality and unequal sample sizes. Given the specified alpha and the power (1-beta), the minimum sample size needed by the proposed formulas under various conditions is less than is given by the conventional formulas. Moreover, given a specified size of sample calculated by the proposed formulas, simulation results show that Yuen's test can achieve statistical power which is generally superior to that of the approximate t test. A numerical example is provided.

摘要

阮氏双样本截尾均值检验统计量是在方差不齐时应用的最稳健方法之一。本研究推导了该检验所需样本量的公式。这些公式适用于方差不等、非正态和样本量不等的情况。在给定指定的α和检验功效(1-β)的情况下,所提出公式在各种条件下所需的最小样本量小于传统公式给出的样本量。此外,在给定由所提出公式计算出的指定样本量的情况下,模拟结果表明阮氏检验能够实现的统计功效通常优于近似t检验。文中给出了一个数值示例。

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