Introduction and Motivation

Dana Kelly () and Curtis Smith ()
Additional contact information
Dana Kelly: Idaho National Laboratory (INL)
Curtis Smith: Idaho National Laboratory (INL)

Chapter Chapter 1 in Bayesian Inference for Probabilistic Risk Assessment, 2011, pp 1-6 from Springer

Abstract: Abstract This chapter introduces and describes, at a high level, the topic of Bayesian inference. The overall motivation and background for a formal method of logical inference using probability is discussed. Key terms used to describe the Bayesian inference approach are also defined.

Keywords: Bayesian Inference; Failure Probability; Epistemic Uncertainty; Fault Tree; Bernoulli Trial (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-1-84996-187-5_1

Ordering information: This item can be ordered from
http://www.springer.com/9781849961875

DOI: 10.1007/978-1-84996-187-5_1

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().