Modelos Lineares Generalizados
MLGCourse Page
6 ECTSSemester 2Exam: Optional
Overall
No reviews yetWorkload
--Description
To understand and to be able to use gamma, binomial, Poisson, and log-linear regression models, framing them into the vaster class of models, the generalized linear models. To know each of the models assumptions and to be able to say that they are met in practice. To estimate the models using a specific software (R-project), to know how to interpret the estimates that are obtained and to assess the quality of the fits. To study discrepant and influential observations and know how to deal with them. To analyze several practical examples, mainly real, using the proposed methodologies.