An integral element of this analysis is the propagation of parameter uncertainty through the model. Two types of uncertainty are considered: (1) stochastic variability with respect to the predicted model endpoints (e.g., the distribution of doses and whole-body concentrations among individual herons and minks) and (2) knowledge uncertainty about either the true value or the true distribution of each model input parameter. As a result, probabilistic statements concerning the distribution of PCBs and mercury exposure within a given population of heron or mink are made, as well as statements regarding uncertainty about the true but unknown distributions and associated percentiles. Details of the model structures and sources of the parameter distributions are documented in Sects. 2 and 3. The results of the modeling effort are presented as the 90% confidence interval (CI) about the expected distribution of
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