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- W2102605338 abstract "A simplified biokinetic model for (137)Cs has six parameters representing transfer of material to and from various compartments. Using a Bayesian analysis, the joint probability distribution of these six parameters is determined empirically for two cases with quite a lot of bioassay data. The distribution is found to be a multivariate log-normal. Correlations between different parameters are obtained. The method utilises a fairly large number of pre-determined forward biokinetic calculations, whose results are stored in interpolation tables. Four different methods to sample the multidimensional parameter space with a limited number of samples are investigated: random, stratified, Latin Hypercube sampling with a uniform distribution of parameters and importance sampling using a lognormal distribution that approximates the posterior distribution. The importance sampling method gives much smaller sampling uncertainty. No sampling method-dependent differences are perceptible for the uniform distribution methods." @default.
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- W2102605338 date "2008-08-01" @default.
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- W2102605338 title "An empirical multivariate log-normal distribution representing uncertainty of biokinetic parameters for 137Cs" @default.
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- W2102605338 doi "https://doi.org/10.1093/rpd/ncn131" @default.
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