Two error components model for measurement error: application to radon in homes |
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Authors: | Hunter Nezahat Muirhead Colin R Miles Jon C H |
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Institution: | Health Protection Agency, CRCE (Centre for Radiation, Chemical and Environmental Hazards), Chilton, Oxon OX11 0RQ, UK |
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Abstract: | 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. |
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Keywords: | Additive error Bayesian approach Measurement error Multiplicative error Radon concentrations Repeated measurements |
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