Skip to main content

Bayesian volumetric calibration: an application of reversible jump Markov chain Monte Carlo methods

Buy Article:

$51.00 plus tax (Refund Policy)

Abstract:

Volumetric calibration is used for high accuracy estimation of the functional volume-to-level relationship for vessels used to store hazardous liquids. An example of calibration of a vessel for reprocessed nuclear material is used to illustrate an analysis of calibration data. We advocate a Bayesian approach, with proper account of genuine prior information, using a reversible jump Markov chain Monte Carlo method for estimation.

Keywords: Computer-intensive inference; Errors in variables; Material accountancy; Regression

Document Type: Original Article

DOI: http://dx.doi.org/10.1111/1467-9876.00212

Affiliations: 1: Lancaster University, UK, 2: University of Newcastle, UK

Publication date: January 1, 2000

bpl/rssc/2000/00000049/00000004/art00010
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more