Data Uncertainty and Important Measures is popular PDF and ePub book, written by Christophe Simon in 2018-01-19, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Data Uncertainty and Important Measures can be Read Online from any device for your convenience.
Data Uncertainty and Important Measures Book PDF Summary
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.
Detail Book of Data Uncertainty and Important Measures PDF
- Author : Christophe Simon
- Release : 19 January 2018
- Publisher : John Wiley & Sons
- ISBN : 9781119489344
- Genre : Mathematics
- Total Page : 212 pages
- Language : English
- PDF File Size : 19,9 Mb
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