ABSTRACT Y-rank can present faults when dealing with non-linear problems. A methodology is proposed to improve the selection of data in situations where y-rank is fragile. The proposed alternative, ca
This data can be used to understand, evaluate, replicate, and build the physical-based model proposed in a paper entitled "A physically-based model of deposition, re-entrainment, and transport of fine
The purpose of this tutorial is to demonstrate how to use Markov chain Monte Carlo (MCMC) to calibrate a model. By calibration, we mean the selection of model parameters (and, when relevant, structure
