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Více informací o knize Data Uncertainty and Important Measures

• Parametry knihy
• Anotace
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Anotace knihy

The first part of the book defines the concept of uncertainties and the mathematical frameworks that will be used for uncertainty modeling. The application to system reliability assessment illustrates the concept. In the second part, evidential networks as a new tool to model uncertainty in reliability and risk analysis is proposed and described. Then it is applied on SIS performance assessment and in risk analysis of a heat sink. In the third part, Bayesian and evidential networks are used to deal with important measures evaluation in the context of uncertainties.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Applied mathematics

• Plný název: Data Uncertainty and Important Measures
• Autor: Christophe Simon, Philippe Weber, Mohamed Sallak
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 240
• EAN: 9781848219939
• ISBN: 9781848219939
• ID: 10045546
• Nakladatelství: ISTE Ltd and John Wiley & Sons Inc
• Hmotnost: 510 g
• Rozměry: 241 × 154 × 19 mm
• Datum vydání: 09. January 2018

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