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Sensitivity Analysis in Radiological Risk Assessment using Double Monte Carlo Method

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 46 - Number 5
Year of Publication: 2012
Authors:
Hrishikesh Boruah
Tazid Ali
Palash Dutta
10.5120/6903-9269

Hrishikesh Boruah, Tazid Ali and Palash Dutta. Article: Sensitivity Analysis in Radiological Risk Assessment using Double Monte Carlo Method. International Journal of Computer Applications 46(5):16-20, May 2012. Full text available. BibTeX

@article{key:article,
	author = {Hrishikesh Boruah and Tazid Ali and Palash Dutta},
	title = {Article: Sensitivity Analysis in Radiological Risk Assessment using Double Monte Carlo Method},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {46},
	number = {5},
	pages = {16-20},
	month = {May},
	note = {Full text available}
}

Abstract

Sensitivity analysis is a study of how changes in the inputs to a model influence the results of the model. Many techniques are available when the model is probabilistic. In this paper we consider a related problem of sensitivity analysis when the model includes uncertain variable that can involve both aleatory and epistemic uncertainty and the method of calculation is Probability bounds analysis. In this study, an advanced probabilistic technique called the Double Monte Carlo method is applied to estimate the radiological risk due to SR-90 through ingestion of food items. The variables of the risk model along with the parameters of these variables are described in terms of probability distribution (precise and imprecise).

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