This paper is concerned with the non-parametric estimation of a distribution function F, when the data are incomplete due to grouping, censoring and/or truncation. Using the idea of self-consistency, ...

We study families of two-sample tests with grouped or multinomial data. The tests are based on models for which some function of hazard or continuation ratio probabilities in two distributions differ ...