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 conside...
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Published in | Applied radiation and isotopes Vol. 54; no. 2; pp. 355 - 363 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.02.2001
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0969-8043 1872-9800 |
DOI: | 10.1016/S0969-8043(00)00191-3 |