Title of article :
Analysis of Hybrid Censored Data fromthe Lognormal Distribution
Author/Authors :
Habibi Rad, a ferdowsi university of mashhad - School of Mathematical Scie - Department of Statistics, مشهد, ايران , Yousefzadeh, a university of birjand - School of Science - Department of Statistics, بيرجند, ايران
Abstract :
The mixture of Type I and Type II censoring schemes, called thehybrid censoring. This article presents the statistical inferences on lognormalparameters when the data are hybrid censored. We obtain the maximumlikelihood estimators (MLEs) and the approximate maximum likelihood estimators(AMLEs) of the unknown parameters. Asymptotic distributionsof the maximum likelihood estimators are used to construct approximateconfidence intervals. Monte Carlo simulations are performed to comparethe performances of the different methods and one data set is analyzed forillustrative purposes.
Keywords :
Approximate maximum likelihood estimate% asymptotic distribution%hybrid censoring% maximum likelihood estimate% Monte Carlo simulation.
Journal title :
Journal of Statistical Research of Iran
Journal title :
Journal of Statistical Research of Iran
