论文标题

基于重叠系数的两样本测试的新型统计方法

A novel statistical approach for two-sample testing based on the overlap coefficient

论文作者

Komaba, Atsushi, Johno, Hisashi, Nakamoto, Kazunori

论文摘要

在这里,我们为两样本测试提供了一个新的非参数框架,称为OVL- $ Q $($ q = 1,2,\ ldots $)。这可以被视为Smirnov检验的自然扩展,这等同于OVL-1。我们专门针对OVL-2,实施其快速算法,并在某些实验中表现出比其他统计检验的优越性。

Here we propose a new nonparametric framework for two-sample testing, named as the OVL-$q$ ($q = 1, 2, \ldots$). This can be regarded as a natural extension of the Smirnov test, which is equivalent to the OVL-1. We specifically focus on the OVL-2, implement its fast algorithm, and show its superiority over other statistical tests in some experiments.

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