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Statistical Inference of Type-II Progressively Hybrid Censored Data with Weibull Lifetimes

Statistical Inference of Type-II Progressively Hybrid Censored Data with Weibull Lifetimes In this article, we discuss the maximum likelihood estimators and approximate maximum likelihood estimators of the parameters of the Weibull distribution with two different progressively hybrid censoring schemes. We also present the associated expressions of the expected total test time and the expected effective sample size which will be useful for experimental planning purpose. Finally, the efficiency of the point estimation of the parameters based on the two progressive hybrid censoring schemes are compared and the merits of each censoring scheme are discussed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Communications in Statistics: Theory and Methods Taylor & Francis

Statistical Inference of Type-II Progressively Hybrid Censored Data with Weibull Lifetimes

20 pages

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References (21)

Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1532-415X
eISSN
0361-0926
DOI
10.1080/03610920902850069
Publisher site
See Article on Publisher Site

Abstract

In this article, we discuss the maximum likelihood estimators and approximate maximum likelihood estimators of the parameters of the Weibull distribution with two different progressively hybrid censoring schemes. We also present the associated expressions of the expected total test time and the expected effective sample size which will be useful for experimental planning purpose. Finally, the efficiency of the point estimation of the parameters based on the two progressive hybrid censoring schemes are compared and the merits of each censoring scheme are discussed.

Journal

Communications in Statistics: Theory and MethodsTaylor & Francis

Published: May 6, 2009

Keywords: Approximate maximum likelihood estimator; Extreme-value distribution; Hybrid censoring; Life-testing; Maximum likelihood estimator; 62N05; 62F10

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