Resume: Short-Course - Day 2: In this topic, I will explain a typical industrial application in which the data observed is always left-truncated and right-censored data. I will then develop in detail the EM algorithm approach for the likelihood inference of model parameters for different lifetime distributions, and then use these results to discuss model selection and model discrimination within the family of generalized gamma distributions.

http://www.icmc.usp.br/e/df257