Bayesian analysis of an exponentiated half-logistic distribution under progressively type-II censoring

Title
Bayesian analysis of an exponentiated half-logistic distribution under progressively type-II censoring
Author(s)
강석복김용구[김용구]서정인
Keywords
Bayes predictive interval; exponentiated half-logistic distribution; HPD credible interval; importance sampling; progressively type-II censored sample
Issue Date
201311
Publisher
한국데이터정보과학회
Citation
한국데이터정보과학회지, v.24, no.6, pp.1455 - 1464
Abstract
This paper develops maximum likelihood estimators (MLEs) of unknown param-eters in an exponentiated half-logistic distribution based on a progressively type-II censored sample. We obtain approximate confidence intervals for the MLEs by using asymptotic variance and covariance matrices. Using importance sampling, we obtain Bayes estimators and corresponding credible intervals with the highest posterior density and Bayes predictive intervals for unknown parameters based on progressively type-II censored data from an exponentiated half logistic distribution. For illustration pur-poses, we examine the validity of the proposed estimation method by using real and simulated data.
URI
http://hdl.handle.net/YU.REPOSITORY/28361http://dx.doi.org/10.7465/jkdi.2013.24.6.1455
ISSN
1598-9402
Appears in Collections:
이과대학 > 통계학과 > Articles
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