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...

Volledige beschrijving

Bibliografische gegevens

Hoofdauteur:	Kelly, Dana
Coauteur:	SpringerLink (Online service)
Andere auteurs:	Smith, Curtis 1966-
Formaat:	Electronic Resource
Taal:	English
Gepubliceerd in:	London, New York Springer c2011
Reeks:	Springer Series in Reliability Engineering
Onderwerpen:	Risk assessment > Statistical methods. Electronic books.
Online toegang:	Available for the University of the Philippines Diliman via SpringerLink. Click here to access