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Improved estimation of Weibull Parameters considering unreliability uncertainties
Cita
Fernández Fernández, Antonio and Vázquez López, Manuel 
ORCID: https://orcid.org/0000-0003-1070-1751
(2012).
Improved estimation of Weibull Parameters considering unreliability uncertainties.
"IEEE Transactions on Reliability", v. 61
(n. 1);
pp. 32-40.
ISSN 0018-9529.
https://doi.org/10.1109/TR.2011.2168652.
ORCID: https://orcid.org/0000-0003-1070-1751
(2012).
Improved estimation of Weibull Parameters considering unreliability uncertainties.
"IEEE Transactions on Reliability", v. 61
(n. 1);
pp. 32-40.
ISSN 0018-9529.
https://doi.org/10.1109/TR.2011.2168652.
Descripción
| Título: | Improved estimation of Weibull Parameters considering unreliability uncertainties |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | IEEE Transactions on Reliability |
| Fecha: | Marzo 2012 |
| ISSN: | 0018-9529 |
| Volumen: | 61 |
| Número: | 1 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Heteroscedastic regression, life tests, Weibull distributions, weighted least squares |
| Escuela: | E.U.I.T. Telecomunicación (UPM) [antigua denominación] |
| Departamento: | Electrónica Física |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
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.
Más información
| ID de Registro: | 16569 |
|---|---|
| Identificador DC: | https://oa.upm.es/16569/ |
| Identificador OAI: | oai:oa.upm.es:16569 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5487043 |
| Identificador DOI: | 10.1109/TR.2011.2168652 |
| URL Oficial: | http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 18 Oct 2013 15:56 |
| Ultima Modificación: | 12 Nov 2025 00:00 |
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