Abstract
A generalization of the concept of mixture, self-consistency, expectation and imputation and asso- ciated Quasi-EM algorithms is presented and applied to multinomial logistic model, a family of univariate survival models, and multivariate survival models motivated by frailties. A subclass of Archimedian copula models is identified that is characterized by monotonically convergent Quasi-EM algorithms. A connection to recently proposed MM algorithms that extend the EM concept without using missing data arguments is established.