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...

Täydet tiedot

Bibliografiset tiedot
Päätekijä: Kelly, Dana
Yhteisötekijä: SpringerLink (Online service)
Muut tekijät: Smith, Curtis 1966-
Aineistotyyppi: Electronic Resource
Kieli:englanti
Julkaistu: London, New York Springer c2011
Sarja:Springer Series in Reliability Engineering
Aiheet:
Linkit:Available for the University of the Philippines Diliman via SpringerLink. Click here to access