I'm running a Monte Carlo filtering analysis on a forest yield model. I'm not pretty sure if model parameters need to be independent (in my case they are not). Analysis results are based on a two-sided Smirnov test.
Re: Monte Carlo Filtering-Sensitivity analysis. Model parameters need to be independe
Sorry if my question it is not clear. I am doing a sensitivity analysis to my model. It's a Monte-Carlo filtering (regionalized sensitivity analysis) . It's a method of sensitivity analysis that addresses the question, which parameter is most responsible for producing model results in the region of interest.
Does this methode assume that parameters (whose values are simulated ) must be independent?