Open AccessProbabilistic estimate of indoor radon distribution in Abruzzo (central Italy): comparison of different statistical methods
Author(s) -
Antonio Pasculli,
Fabio Rizzo,
Paolo Zazzini
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1391/1/012001
Subject(s) - radon , environmental science , statistics , bayesian probability , monte carlo method , probabilistic logic , econometrics , mathematics , physics , quantum mechanics
Since some years ago in Abruzzo (Central Italy), through a number of monitoring campaigns, a set of more than 1900 indoor radon measures has been acquired by the Regional Agency for the environmental protection. Thus, on the basis of these public experimental data, different statistical approaches, aimed to estimate the probability to exceed the level of 200 Bq/m 3 (lower than 300 Bq/m 3 , threshold value currently recommended by the Euratom commission for indoor radon risk acceptability), taken just as a working reference value, have been selected and discussed in this paper. Essentially, ‘Monte Carlo Empirical Bayesian approach’, ‘Bootstrap’ and ‘Gibbs samplers’ methods have been applied and the results have been partially compared. Moreover, some insights on the minimum number of samples, needed to assess the probability distribution as reasonable as possible, are provided.