RT journal article
T1 Bayesian treatment of results from radioanalytical measurements. Effect of prior information modification in the final value of the activity
A1 Barrera Izquierdo, Manuel
A1 Lira, Ignacio
A1 Sánchez Sánchez, Marta
A1 Suárez Llorens, Alfonso
A2 Estadística e Investigación Operativa
K1 Robust Bayesian analysis
K1 Radiation measurement
K1 Class of priors
K1 Radionuclide analysis
K1 Proficiency tests
K1 Uncertainty of measurement
AB We address the problem of evaluating measurements of radionuclide activity concentration from a robust Bayesian perspective. As shown in previous studies, Bayesian incorporation of available prior information on the activity levels, together with the measured values, leads in general to an improvement in the quality of radioanalytical results. Since the specific form of the employed prior is a critical aspect of the Bayesian framework, in the present paper we distort the prior distribution in order to evaluate how it influences the final activity estimate. We applied this procedure to inter-laboratory proficiency test data obtained by the laboratories that perform radiochemical analysis for the Spanish radioactive monitoring network. We found that in the present application the Bayesian methodology is indeed robust, as modifying the specific form of the prior has little effect on the activity estimate. Similar sensitivity analysis could be applied to the Bayesian evaluation of measurements of other quantities for which prior knowledge is available.
PB Elsevier
SN 0969-806X
YR 2019
FD 2019
LK http://hdl.handle.net/10498/29876
UL http://hdl.handle.net/10498/29876
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 11-nov-2026