caa a22 4500 397504713 CHVBK 20180308164541.0 cr unu---uuuuu 161202e19950201xx s 000 0 eng 10.1093/oxfordjournals.rpd.a082605 doi 0144-8420 pii (NATIONALLICENCE)oxford-10.1093/oxfordjournals.rpd.a082605 Bayesian Detection Analysis for Radiation Exposure, II [Elektronische Daten] [G. Miller, W.C. Inkret, 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. Radiation Protection Dosimetry Miller G. aut Inkret W.C. aut Martz H.F. aut Radiation Protection Dosimetry Oxford University Press 58/2(1995-02-01), 115-125 0144-8420 58:2<115 1995 58 rpd https://doi.org/10.1093/oxfordjournals.rpd.a082605 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1093/oxfordjournals.rpd.a082605 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Miller G. aut NATIONALLICENCE 700 1- Inkret W.C. aut NATIONALLICENCE 700 1- Martz H.F. aut NATIONALLICENCE 773 0- Radiation Protection Dosimetry Oxford University Press 58/2(1995-02-01), 115-125 0144-8420 58:2<115 1995 58 rpd Metadata rights reserved CC BY-NC-4.0 http://creativecommons.org/licenses/by-nc/4.0 nationallicence SWISSBIB 397012284 BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-oxford