Estimating a Distribution Function with Missing Data

In this paper, if some extra interval data are available, that is, we assume we can know for sure whether the missing data belong to some prescribed intervals or not, and the missing data mechanism is known up to a -dimension unknown parameter , then, the estimators of the underlying distribution function and the unknown parameter can be derived, and their asymptotical properties are studied