Weibull++ Standard Folio Data B-W: Difference between revisions
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Bayesian analysis methods are based on the concept that the probability of an event or behavior can be predicted from previous pieces of evidence related to the occurrence of that event or behavior. The Bayesian-Weibull method combines prior information about the failure behavior of a product, along with current observations, in order to make predictions about the life characteristics of the product. This type of analysis is particularly useful when there is limited life data for a given product or failure mode but there is a strong prior understanding of the failure rate behavior. | Bayesian analysis methods are based on the concept that the probability of an event or behavior can be predicted from previous pieces of evidence related to the occurrence of that event or behavior. The Bayesian-Weibull method combines prior information about the failure behavior of a product, along with current observations, in order to make predictions about the life characteristics of the product. This type of analysis is particularly useful when there is limited life data for a given product or failure mode but there is a strong prior understanding of the failure rate behavior.. | ||
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Revision as of 03:22, 9 August 2012
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| Bayesian-Weibull Distribution |
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Bayesian analysis methods are based on the concept that the probability of an event or behavior can be predicted from previous pieces of evidence related to the occurrence of that event or behavior. The Bayesian-Weibull method combines prior information about the failure behavior of a product, along with current observations, in order to make predictions about the life characteristics of the product. This type of analysis is particularly useful when there is limited life data for a given product or failure mode but there is a strong prior understanding of the failure rate behavior.. |
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