No sampling method-dependent differences are perceptible for the uniform distribution methods. The importance sampling method gives much smaller sampling uncertainty.
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 method utilises a fairly large number of pre-determined forward biokinetic calculations, whose results are stored in interpolation tables. Correlations between different parameters are obtained. The distribution is found to be a multivariate log-normal. 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. Melo, D.Ī simplified biokinetic model for 137 Cs has six parameters representing transfer of material to and from various compartments. International Nuclear Information System (INIS) An empirical multivariate log-normal distribution representing uncertainty of biokinetic parameters for 137Cs
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