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Bayesian inference for probabilistic risk assessment a practitioner's guidebook

Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems. Inference in the book employs a modern computational approach known as Markov chain Monte Carlo (MCMC). The MCMC approach may be implemen...

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Podrobná bibliografie
Hlavní autor: Kelly, Dana
Korporativní autor: SpringerLink (Online service)
Další autoři: Smith, Curtis 1966-
Médium: Electronic Resource
Jazyk:angličtina
Vydáno: London, New York Springer c2011
Edice:Springer Series in Reliability Engineering
Témata:
Risk assessment > Statistical methods.
Electronic books.
On-line přístup:Available for the University of the Philippines Diliman via SpringerLink. Click here to access