Analysis of Hybrid Censored Data from the Lognormal Distribution

The mixture of Type I and Type II censoring schemes, called the hybrid censoring. This article presents the statistical inferences on lognormal parameters when the data are hybrid censored. We obtain the maximum likelihood estimators (MLEs) and the approximate maximum likelihood estimators (AMLEs) of the unknown parameters. Asymptotic distributions of the maximum likelihood estimators are used to construct approximate confidence intervals. Monte Carlo simulations are performed to compare the performances of the different methods and one data set is analyzed for illustrative purposes.