Title : ( Analysis of Hybrid Censored Data from the Log-Normal Distribution )
Authors: Arezou Habibirad , فاطمه یوسف زاده ,
Full TextAbstract
The mixture of Type-I and Type-II censoring schemes, called the hybrid censoring. This article presents the statisti- cal inferences on Log-Normal parameters when the data are hybrid censored. We obtain the maximum likelihood estima- tors (MLEs) and the approximate maximum likelihood esti- mators (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 illus- trative purposes.
Keywords
Approximate Maximum Likelihood Estimate; Asymptotic distribution; Hybrid censoring; Maximum Likelihood Estimate; Monte Carlo simulation
@article{paperid:1019968,
author = {Habibirad, Arezou and فاطمه یوسف زاده},
title = {Analysis of Hybrid Censored Data from the Log-Normal Distribution},
journal = {پژوهش های آماری ایران-Journal of Statistical Research of Iran},
year = {2010},
volume = {7},
number = {1},
month = {July},
issn = {1735-1294},
pages = {37--46},
numpages = {9},
keywords = {Approximate Maximum Likelihood Estimate; Asymptotic
distribution; Hybrid censoring; Maximum Likelihood Estimate; Monte
Carlo simulation},
}
%0 Journal Article
%T Analysis of Hybrid Censored Data from the Log-Normal Distribution
%A Habibirad, Arezou
%A فاطمه یوسف زاده
%J پژوهش های آماری ایران-Journal of Statistical Research of Iran
%@ 1735-1294
%D 2010
