Monte Carlo simulation for verification of nonparametric tests used in final status surveys of MARSSIM at decommissioning of nuclear facilities

• Main Authors: Wook Sohn, Eun-hee Hong
• Format: Article
• Language: English
• Published: Elsevier 2021-05-01
• Series: Nuclear Engineering and Technology
• Subjects: Decommissioning; MARSSIM; Monte Carlo simulation; Nonparametric hypothesis tests; Sing test; WRS test
• Online Access: http://www.sciencedirect.com/science/article/pii/S1738573320309074

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.