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...

Szczegółowa specyfikacja

Opis bibliograficzny

1. autor:	Kelly, Dana
Korporacja:	SpringerLink (Online service)
Kolejni autorzy:	Smith, Curtis 1966-
Format:	Electronic Resource
Język:	English
Wydane:	London, New York Springer c2011
Seria:	Springer Series in Reliability Engineering
Hasła przedmiotowe:	Risk assessment > Statistical methods. Electronic books.
Dostęp online:	Available for the University of the Philippines Diliman via SpringerLink. Click here to access