Table B.25.

Summary of distribution families used to model variability of input parameters and of distributions used to represent uncertainty about variability distribution parameters

Parameter	Model for variability (distribution family)	Uncertainty about variability distribution parameters
Body weight (bw, kg)	Log‐normal (restricted to a minimum of 5.5 kg)	Posterior distribution from Bayesian inference (Annex B.12) applied to data described in Annex C. Figure B.10 shows a sample from the posterior distribution
Consumption (q, kg/day)	Gamma (restricted to a maximum of 0.1 kg/day)	Posterior distribution from Bayesian inference (Annex B.12) applied to data described in Annex C. Figure B.11 shows a sample from the posterior distribution
Concentration(c, mg/kg)	Log‐normal (restricted to a maximum of 6,100 mg/kg)	Median fixed at 29 mg/kg. Beta(22,1) distribution used to represent uncertainty about percentile to which maximum data value 2,563 mg/kg corresponds
Weight‐fraction (w, ‐)	Uniform	Lower end of uniform distribution fixed at 0.14. Uncertainty about upper end represented by distribution for wmax used in the worst‐case example above