A probabilistic description of radioactive contamination: a multivariate model.
A multivariate discrete probability model is used to facilitate the description of gamma-ray spectroscopic data obtained from radioactively contaminated territory, east of the former Semipalatinsk nuclear test site in Kazakhstan. Two possible estimators of probabilities of interest have been considered: maximum likelihood and unbiased estimators. We show that unbiased estimators are much easier to compute. The model was used in two variants: (i) several radionuclides in spatially independent measurements, (ii) a single radionuclide in spatially dependent measurements. We show that, in both cases, it is important to take into account the correlation for the accurate evaluation of probabilities of interest.
Nikulin
M S
MS
Université Bordeaux 2, France.
Novak
M M
MM
Smirnov
T I
TI
Voinov
V G
VG
Krasnov
G I
GI
D005720:Gamma Rays / Q000009:adverse effects; D006801:Humans; D007623:Kazakhstan; D015233:Models, Statistical; D015999:Multivariate Analysis; D009689:Nuclear Warfare; D011847:Radioactive Fallout / Q000009:adverse effects / Q000032:analysis*; D012449:Safety; D013051:Spectrometry, Gamma
D011847:Radioactive Fallout