Bayesian Inference for Probabilistic Risk Assessment A Practitioner's Guidebook /

• Κύριοι συγγραφείς: Kelly, Dana (Συγγραφέας), Smith, Curtis (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London, 2011.
• Σειρά: Springer Series in Reliability Engineering,
• Θέματα: Engineering.; Statistics.; Quality control.; Reliability.; Industrial safety.; Quality Control, Reliability, Safety and Risk.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

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...