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A goodness-of-fit test for uniform distribution with unknown limits

机译:拟合优度测试,用于未知范围内的均匀分布

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摘要

A chi-square type test statistic for testing the uniformity hypothesis, based on selected values of the sample quantiles of the empirical distribution function, is presented. Critical values of the test statistics are given for several particular choices of the sample quantiles. A good agreement with their asymptotic counterparts occurs for sample sizes of the magnitude 30 and sometimes even for small sample sizes.
机译:基于经验分布函数的样本分位数的选定值,提出了用于检验均匀性假设的卡方检验统计量。对于样本分位数的几种特定选择,给出了测试统计数据的临界值。对于数量级为30的样本量,有时甚至对于较小的样本量,也与它们的渐近对应物达成了良好的协议。

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