Definition

Suppose that $T_{1}, T_{2}, \dots, T_{n}$ are i.i.d. random variables represent survival times with CDF $F$ , and $C_{1}, C_{2}, \dots, C_{n}$ are the censoring times. And let $δ_{i} = {10 T_{i} \leq C_{i} : uncensored T_{i} > C_{i} : censored$ be the censoring indicator. In a Random Censoring setting, we only observe $(Y_{i}, δ_{i}), i = 1, \dots, n$ where $Y_{i} = min (T_{i}, C_{i})$ .