Title :
Improvement of uncertainty by application of MCMC for blood chemical analysis
Author :
Iwaki, Yasuo ; Inamura, Tadao
Abstract :
For the improvement of measurement accuracy, Markov Chain Monte Carlo (MCMC) method in Bayesian Inference has been applied to many fields. We applied this method to type B for practical use on the supplement 1 of ISO-GUM (ISO-guide to express of uncertainty on measurement). Total evaluation is obtained to add the remit of the statistical analysis obtained by type A of ISO- GUM to the type B. Combined uncertainty is gotten by carrying out the geometric mean of the results of type A and type B. Assurance value is gotten by multiplying the combined uncertainty by a coverage factor.
Keywords :
Bayes methods; Markov processes; Monte Carlo methods; biochemistry; biomedical measurement; blood; Bayesian inference; ISO-GUM; MCMC; Markov Chain Monte Carlo method; blood chemical analysis; measurement accuracy; statistical analysis; Analysis of variance; Bayesian methods; Blood; Chaos; Chemical analysis; Electronic design automation and methodology; Measurement uncertainty; Quality control; Statistical analysis; Testing; MCMC ISO-GM; uncertainty;
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
DOI :
10.1109/SICE.2008.4654715
