Review: likelihood method for fitting Weibull log-linear models to accelerated life-test data

The analysis of data from accelerated life-test experiments via the method of maximum likelihood estimation must, for a Weibull log-linear model, be performed numerically. This paper promotes a particular log-likelihood as the basis for such inferences, and introduces notation and formulae to aid th...

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Bibliographic Details
Published in:IEEE transactions on reliability 1994-09, Vol.43 (3), p.361-365
Main Author: Watkins, A.J.
Format: Article
Language:English
Subjects:
Acceleration
Data analysis
Educational institutions
Life estimation
Maximum likelihood estimation
Parameter estimation
Shape
Stress
Testing
Weibull distribution
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Summary:The analysis of data from accelerated life-test experiments via the method of maximum likelihood estimation must, for a Weibull log-linear model, be performed numerically. This paper promotes a particular log-likelihood as the basis for such inferences, and introduces notation and formulae to aid the implementation of various numerical methods. Two examples illustrate the performance of a widely-used maximization technique; these examples indicate that the performance of this technique compares favorably with that from commercially available software.< >
ISSN:0018-9529
1558-1721
DOI:10.1109/24.326426