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

by Curtis Smith and Dana Kelly

Book Overview

1. Introduction and Motivation.- 2. Introduction to Bayesian Inference.- 3. Bayesian Inference for Common Aleatory Models.- 4. Bayesian Model Checking.- 5. Time Trends for Binomial and Poisson Data.- 6. Checking Convergence to Posterior Distribution.- 7. Hierarchical Bayes Models for Variability.- 8. More Complex Models for Random Durations.- 9. Modeling Failure with Repair.- 10. Bayesian Treatment of Uncertain Data.- 11. Bayesian Regression Models.-...

• Format: Paperback
• Language: English
• ISBN: 1447127080
• ISBN13: 9781447127086
• Release Date: November 2013
• Publisher: Springer
• Length: 228 Pages
• Weight: 0.75 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"