عنوان مقاله :
Analysis of Hybrid Censored Data from the Lognormal Distribution
عنوان به زبان ديگر :
Analysis of Hybrid Censored Data from the Lognormal Distribution
پديد آورندگان :
حبيبي راد، آرزو نويسنده دانشگاه فردوسي مشهد , , يوسف زاده، فاطمه نويسنده ,
كليدواژه :
Approximate maximum likelihood estimate , Asymptotic distribution , hybrid censoring , Maximum likelihood estimate , Monte Carlo simulation
چكيده لاتين :
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.
كلمات كليدي :
#تست#آزمون###امتحان
