Abstract In order to verify the statistical performance of the nonparametric tests used in the MARSSIM approach, all plausible contamination distribution types that can be encountered in a survey area should be investigated. As the first of such investigations, this study aims to perform the verification for normal distribution of the contamination in a survey area by simulating the collection of random samples from it through the Monte Carlo simulation. The results of the simulations conducted for a total of 81 simulation cases showed that Sign test and WRS test both exhibited an excellent statistical performance: 100% for the former and 98.8% for the latter. Therefore, in final status surveys of the MARSSIM approach, a high statistical performance can be expected in applying the nonparametric hypothesis tests to survey areas whose net contamination can be assumed to be normally distributed.

中文翻译：

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蒙特卡罗模拟验证核设施退役时 MARSSIM 最终状态调查中使用的非参数测试

摘要 为了验证 MARSSIM 方法中使用的非参数检验的统计性能，应调查调查区域中可能遇到的所有可能的污染分布类型。作为此类调查中的第一个，本研究旨在通过蒙特卡罗模拟模拟从调查区域收集随机样本，对调查区域的污染正态分布进行验证。对总共81个模拟案例进行的模拟结果表明，Sign检验和WRS检验均表现出优异的统计性能：前者为100%，后者为98.8%。因此，在 MARSSIM 方法的最终状态调查中，