Analysis of Hybrid Censored Data from the Lognormal Distribution | Zendy

A. Habibi Rad | Zendy; F. Yousefzadeh | Zendy

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Analysis of Hybrid Censored Data from the Lognormal Distribution

Author(s) -

A. Habibi Rad,

F. Yousefzadeh

Publication year - 2010

Publication title -

journal of statistical research of iran

Language(s) - English

Resource type - Journals

ISSN - 1735-1294

DOI - 10.18869/acadpub.jsri.7.1.37

Subject(s) - censoring (clinical trials) , estimator , log normal distribution , mathematics , statistics , maximum likelihood , monte carlo method , m estimator , confidence interval

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.

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