Modelos De Censura Tipo II Progressiva E Propriedades Assintóticas Do Estimador De Máxima Verossimilhança

In this work, we study inferential methods based on samples in the presence of progressively Type-II censoring. First, we present three models involving distributions: ExtremeValue, by Ding and Yu (2012), Generalized Exponential, by Ismail (2012), and ThreeParameter Lognormal, by Basak et al. (2009). Secondly, based on the study of Lin and Balakrishnan (2011), we investigated the properties of consistency and asymptotic normality of maximum likelihood estimators for models under a progressive Type-II censoring scheme.