Nonparametric estimation of a bivariate survivorship function with doubly censored data
The problem of nonparametric estimation of a bivariate survivorship function with doubly censored data is considered. A self-consistent estimator is developed by first ``reducing'' the problem to that of estimation in a singly and right censored situation. This estimator is shown to satisfy a likelihood equation, and its uniqueness is investigated. The results obtained naturally parallel those obtained by \textit{G. Campbell}, Biometrika 68, 417-422 (1981; Zbl 0462.62029), in the singly censored case.
nonparametric maximum likelihood estimation
scientific article; zbMATH DE number 4054809
scientific article