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

• Published in: Nuclear engineering and technology Vol. 53; no. 5; pp. 1664 - 1675
• Main Authors: Sohn, Wook, Hong, Eun-hee
• Format: Journal Article
• Language: Korean
• Published: 2021
• Subjects: Decommissioning; Sing test; MARSSIM; Nonparametric hypothesis tests; WRS test; Statistical power of test; Monte Carlo simulation; Radiological measurements
• ISSN: 1738-5733; 2234-358X

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.