Skip Navigation

This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (6)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Miller, G.
Right arrow Articles by Martz, H.F.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Miller, G.
Right arrow Articles by Martz, H.F.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Radiation Protection Dosimetry 58:115-125 (1995)
© 1995 Oxford University Press

Bayesian Detection Analysis for Radiation Exposure, II

G. Miller, W.C. Inkret and H.F. Martz

The application of Bayesian statistical methods to the interpretation of radiation protection measurements has been discussed in the first article of the series in 1993. The present work continues that discussion and (1) provides sharper definitions of detection categories POSITIVE, SMALL, and NDA; (2) describes an empirical method for determining the prior probability distribution; (3) describes a sequential re-measurement strategy; and (4) defines detection limits LMDA (minimum detectable amount) and LMMA (maximum missed amount) based on the Bayesian detection criterion POSITIVE. It is shown that the Bayesian detection criterion is always more stringent than the classical criterion.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Radiat Prot DosimetryHome page
L. Bertelli, G. Miller, T. Little, R. A. Guilmette, and S. M. Glasser
Internal dose assessment data management system for a large population of Pu workers
Radiat Prot Dosimetry, November 1, 2007; 127(1-4): 347 - 349.
[Abstract] [Full Text] [PDF]


Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.