Parameter Estimation in Population Balance through Bayesian ‎Technique Markov Chain Monte Carlo

In this work, the Markov Chain Monte Carlo is applied to estimate parameters that represent mechanisms that describe particles' dynamics in particulate systems from the literature's proposed models. Initially, the reduced sensitivity coefficient is evaluated to verify which parameters coul...

Full description

Bibliographic Details
Main Authors: Carlos H.R. Moura, Bruno M. Viegas, Maria Tavares, Emanuel N. Macêdo, Diego C. Estumano, João N.N. Quaresma
Format: Article
Language:English
Published: Shahid Chamran University of Ahvaz 2021-04-01
Series:Journal of Applied and Computational Mechanics
Subjects:
Online Access:https://jacm.scu.ac.ir/article_16365_e19748aadadd0fe8d2623a6db2eab6ee.pdf