Your Waterstones card is changing, introducing...
TELL ME MORE
Bayesian Inference for Probabilistic Risk Assessment: A Practitioner's Guidebook - Springer Series in Reliability Engineering (Hardback)
  • Bayesian Inference for Probabilistic Risk Assessment: A Practitioner's Guidebook - Springer Series in Reliability Engineering (Hardback)
zoom

Bayesian Inference for Probabilistic Risk Assessment: A Practitioner's Guidebook - Springer Series in Reliability Engineering (Hardback)

(author), (author)
£139.99
Hardback 228 Pages / Published: 31/08/2011
  • We can order this

Usually despatched within 3 weeks

  • This item has been added to your basket

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 implemented using custom-written routines or existing general purpose commercial or open-source software. This book uses an open-source program called OpenBUGS (commonly referred to as WinBUGS) to solve the inference problems that are described. A powerful feature of OpenBUGS is its automatic selection of an appropriate MCMC sampling scheme for a given problem. The authors provide analysis "building blocks" that can be modified, combined, or used as-is to solve a variety of challenging problems.

The MCMC approach used is implemented via textual scripts similar to a macro-type programming language. Accompanying most scripts is a graphical Bayesian network illustrating the elements of the script and the overall inference problem being solved. Bayesian Inference for Probabilistic Risk Assessment also covers the important topics of MCMC convergence and Bayesian model checking.

Bayesian Inference for Probabilistic Risk Assessment is aimed at scientists and engineers who perform or review risk analyses. It provides an analytical structure for combining data and information from various sources to generate estimates of the parameters of uncertainty distributions used in risk and reliability models.

Publisher: Springer London Ltd
ISBN: 9781849961868
Number of pages: 228
Weight: 526 g
Dimensions: 235 x 155 x 18 mm
Edition: 2011 ed.

You may also be interested in...

Psychology Statistics For Dummies
Added to basket
A Dictionary of Statistics 3e
Added to basket
Maths for Science
Added to basket
£35.99
Paperback
Statistics Essentials for Dummies
Added to basket
Statistics II for Dummies
Added to basket
Statistics: A Very Short Introduction
Added to basket
Risk
Added to basket
£12.99
Paperback
The Elements of Statistical Learning
Added to basket
An Introduction to Statistical Learning
Added to basket
Probability
Added to basket
£26.49
Paperback
The Signal and the Noise
Added to basket
£10.99   £8.99
Paperback
How to Use Statistics
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.