2015
DOI: 10.1016/j.jenvrad.2015.05.007
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Foliar interception of radionuclides in dry conditions: a meta-analysis using a Bayesian modeling approach

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Cited by 5 publications
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“…Prior distributions, which reflect the modeler's uncertainty about the unknown parameters and by extrapolation the uncertainty about the considered processes, enable the incorporation of external additional information such as expert judgment or relevant literature data (Sy et al, 2015). In this study, the prior distributions allocated to the unknown parameters were defined in regard to mathematical reasons and knowledge about the values and the range of plausible values of the parameters of concern.…”
Section: Inference Of Models Parametersmentioning
confidence: 99%
“…Prior distributions, which reflect the modeler's uncertainty about the unknown parameters and by extrapolation the uncertainty about the considered processes, enable the incorporation of external additional information such as expert judgment or relevant literature data (Sy et al, 2015). In this study, the prior distributions allocated to the unknown parameters were defined in regard to mathematical reasons and knowledge about the values and the range of plausible values of the parameters of concern.…”
Section: Inference Of Models Parametersmentioning
confidence: 99%