Univariate Interval Censoring with Two Random Intervals

Abstract

Interval censoring is important in life testing experiments for describing a situation where a subject’s survival time is known only to lie between two values but the exact time is unknown. In this study, the likelihood function for univariate interval censoring with two random intervals is obtained. Copula Method is utilized for the estimation of dependency parameter. A graphical approach is presented for assessing the value of the dependence parameter of the min-max copula.