By a method called the probability contents boundary an derived a criterion for the existence of a maximum likelihood estimate when observations are interval-censored. We show that this criterion is good if the Hessian matrix of the log-likelihood is negative definite on a convex subset of the parameter space, A detaild discussion on the log-likelihood is also given.