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Two-Sample Median Test for Interval-Valued Data

机译:间隔数据的两个样本中值测试

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摘要

The median two-sample test for the location problem is considered. We adopt this nonparametric test to interval-valued data perceived from the epistemic perspective, where the available observations are just interval-valued perceptions of the unknown true outcomes of the experiment. Unlike typical generalizations of statistical procedures into the interval-valued framework, the proposed test entails very low computational costs. However, the presence of interval-valued data results in set-valued p-value which leads no longer to a definite binary decision (reject or not reject the null hypothesis) but may indicate the abstention from making a final decision if the information is too vague.
机译:考虑了定位问题的中位二样本测试。 我们采用这种非参数测试到认知视角中的间隔值数据,其中可用的观察只是对实验未知真正结果的间隔重视的看法。 与统计程序的典型概括不同,所提出的测试需要非常低的计算成本。 然而,间隔值的存在导致设定值的p值导致了不再导致明确的二进制决定(拒绝或不拒绝零假设),但如果信息也是如此 模糊的。

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