Two error components model for measurement error: application to radon in homes

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  2. Dr Colin Muirhead
Author(s)Hunter N, Muirhead CR, Miles JCH
Publication type Article
JournalJournal of Environmental Radioactivity
ISSN (print)0265-931X
ISSN (electronic)1879-1700
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In this paper, a simple model for analysing variability in radon concentrations in homes is tested. The approach used here involves two error components, representing additive and multiplicative errors, together with variation between-houses. We use a Bayesian approach for our analysis and apply this model to two datasets of repeat radon measurements in homes; one based on 3-month long measurements for which the original measurements were close to the current UK Radon Action Level (200 Bq m(-3)), and the other based on 6-month measurement data (from regional and national surveys), for which the original measurements cover a wide range of radon concentrations, down to very low levels. The model with two error components provides a better fit to these datasets than does a model based on solely multiplicative errors.
PublisherElsevier Ltd
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