Nikulin, M.S., Novak, M.M., Smirnov, T.I., Voinov, V.G. and Krasnov, G.I. (2001) A probabilistic description of radioactive contamination: a multivariate model. Applied Radiation and Isotopes, 54(2), pp. 355-363. ISSN (print) 0969-8043
Full text not available from this archive.Abstract
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.
| Item Type: | Article |
|---|---|
| Additional Information: | This was was supported by INTAS-Kazakhstan [grant number 95-0053]. |
| Uncontrolled Keywords: | environmental radioactive pollution, multivariate discrete probability distributions, maximum likelihood and unbiased estimators, gamma-ray spectrometry |
| Research Area: | Computer science and informatics |
| Faculty, School or Research Centre: | Faculty of Computing, Information Systems and Mathematics (until 2011) |
| Related URLs: | |
| Depositing User: | Sara Burnett |
| Date Deposited: | 11 May 2007 |
| Last Modified: | 02 Dec 2011 15:37 |
| URI: | http://eprints.kingston.ac.uk/id/eprint/812 |
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