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Correlations between parameters in risk models : estimation and propagation of uncertainty by Markov Chain Monte Carlo
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Title: Correlations between parameters in risk models : estimation and propagation of uncertainty by Markov Chain Monte Carlo / A. E. Ades and G. LuAuthor: Ades, A. E. ‌
Notes: Monte Carlo simulation has become the accepted method for propagating parameter uncertainty through risk models. It is widely appreciated, however, that correlations between input variables must be taken into account if models are to deliver correct assessments of uncertainty in riskRelated records: En: Risk analysis : an international journal. - New York and London : Society for Risk Analysis. - Vol. 23, nº 6, December, 2003 ; p. 1165-1172Materia / lugar / evento: Simulación Monte Carlo ‌Dioxinas ‌Análisis matemático ‌Evaluación de riesgos ‌Distribución de riesgos ‌Modelos de simulación ‌Otros autores: Lu, G. ‌
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Rights: In Copyright (InC)