Variance propagation with uncertainty and variability combined

7 Variance propagation with uncertainty and variability combined 

Model variance was propagated using the factorial, DPD, Monte Carlo and Latin hypercube sampling (LHS) methods. Table A2.6 provides a summary comparison of the outputs—the arithmetic mean, arithmetic standard deviation, coefficient of variation (CV), geometric mean (GM), geometric standard deviation (GSD), 5th percentile and 95th percentile outcomes— from each method. 

Part 1 Guidance Document on Characterizing and Communicating Uncertainty in Exposure Assessment 

This relatively simple model illustrates the viability of the straightforward analytical analysis. Most models, unfortunately, involve many more input variables and proportionally more complex formulae to propagate variance. Fortunately, the Latin hypercube sampling and Monte Carlo methods simplify complex model variance analysis. 

---

A2.3.7 Variance propagation with uncertainty and variability combined... 

---