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...
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: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Life Distributions Structure of Nonparametric, Semiparametric, and Parametric Families /
ανά: Marshall, Albert W., κ.ά.
Έκδοση: (2007) -
Applied Nonparametric Statistics in Reliability
ανά: Gámiz, M. Luz, κ.ά.
Έκδοση: (2011) -
Risk and Reliability Analysis: Theory and Applications In Honor of Prof. Armen Der Kiureghian /
Έκδοση: (2017) -
Risk Analysis and Management: Engineering Resilience
ανά: Häring, Ivo
Έκδοση: (2015) -
Stochastic Reliability and Maintenance Modeling Essays in Honor of Professor Shunji Osaki on his 70th Birthday /
Έκδοση: (2013)