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Testing the similarity of two normal populations with application to the bioequivalence problem

机译:测试两个正常人群的相似性并将其应用于生物等效性问题

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摘要

The problem of testing the similarity of two normal populations is reconsidered, in this article, from a nonclassical point of view. We introduce a test statistic based on the maximum likelihood estimate of Weitzman's overlapping coefficient. Simulated critical points are provided for the proposed test for various sample sizes and significance levels. Statistical powers of the proposed test are computed via simulation studies and compared to those of the existing tests. Furthermore, Type-I error robustness of the proposed and the existing tests are studied via simulation studies when the underlying distributions are non-normal. Two data sets are analyzed for illustration purposes. Finally, the proposed test has been implemented to assess the bioequivalence of two drug formulations.
机译:从非经典的角度来看,本文重新考虑了测试两个正常总体相似性的问题。我们基于韦茨曼重叠系数的最大似然估计引入检验统计量。为建议的测试提供了模拟的临界点,用于各种样本大小和显着性水平。拟议测试的统计能力是通过模拟研究计算得出的,并与现有测试的统计能力进行比较。此外,当基础分布为非正态分布时,通过模拟研究来研究所提出的和现有测试的I型错误鲁棒性。为了说明目的,分析了两个数据集。最后,建议的测试已经实施,以评估两种药物制剂的生物等效性。

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