Atribución-NoComercial 4.0 InternacionalCepeda Cuervo, Edilberto2019-06-242019-06-24https://repositorio.unal.edu.co/handle/unal/9659In this paper WinBugs code to fit joint mean and precision (variance) beta regression models is presented. These models are fitted applying Bayesian methodology and assuming normal prior distribution for the regression parameters. Analysis of structural data are included, assuming these models.application/pdfspaDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/31 Colecciones de estadística general / Statistics51 Matemáticas / MathematicsWinBugs CODE for Beta Regression ModelsDocumento de trabajohttp://bdigital.unal.edu.co/6610/info:eu-repo/semantics/openAccessBeta regression models, WinBugs CODE, Bayesian methodology