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

Lookup NU author(s): Dr Colin Muirhead


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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.

Publication metadata

Author(s): Hunter N, Muirhead CR, Miles JCH

Publication type: Article

Publication status: Published

Journal: Journal of Environmental Radioactivity

Year: 2011

Volume: 102

Issue: 9

Pages: 799-805

Print publication date: 24/06/2011

ISSN (print): 0265-931X

ISSN (electronic): 1879-1700

Publisher: Elsevier Ltd


DOI: 10.1016/j.jenvrad.2011.05.009


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