Descripción
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We propose a linear regression method for estimating Weibull parameters from life tests. The method uses stochastic models of the unreliability at each failure instant. As a result, a heteroscedastic regression problem arises that is solved by weighted least squares minimization. The main feature of our method is an innovative s-normalization of the failure data models, to obtain analytic expressions of centers and weights for the regression. The method has been Monte Carlo contrasted with Benard?s approximation, and Maximum Likelihood Estimation; and it has the highest global scores for its robustness, and performance. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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Ieee Transactions on Reliability |
ISSN
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0018-9529 |
Factor de impacto JCR
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1,285 |
Información de impacto
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Volumen
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61 |
DOI
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10.1109/TR.2011.2168652 |
Número de revista
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1 |
Desde la página
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32 |
Hasta la página
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40 |
Mes
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SIN MES |
Ranking
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32/99 COMPUTER SCIENCE, SOFTWARE ENGINEERING (SCI); 16/48 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE (SCI); 92/247 ENGINEERING, ELECTRICAL & ELECTRONIC |