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Correlations between parameters in risk models : estimation and propagation of uncertainty by Markov Chain Monte Carlo

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001  MAP20071504933
003  MAP
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008  040218e20031201usa|||| | |00010|eng d
040  ‎$a‎MAP‎$b‎spa
084  ‎$a‎7
1001 ‎$0‎MAPA20080018849‎$a‎Ades, A. E.
24510‎$a‎Correlations between parameters in risk models‎$b‎: estimation and propagation of uncertainty by Markov Chain Monte Carlo‎$c‎A. E. Ades and G. Lu
5208 ‎$a‎Monte 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 risk
65011‎$0‎MAPA20080608606‎$a‎Simulación Monte Carlo
65011‎$0‎MAPA20080546878‎$a‎Dioxinas
65011‎$0‎MAPA20080589004‎$a‎Análisis matemático
65001‎$0‎MAPA20080601522‎$a‎Evaluación de riesgos
65011‎$0‎MAPA20080610319‎$a‎Distribución de riesgos
650 1‎$0‎MAPA20080602642‎$a‎Modelos de simulación
7001 ‎$0‎MAPA20080000417‎$a‎Lu, G.
7730 ‎$w‎MAP20077000345‎$t‎Risk analysis : an international journal‎$d‎New York and London : Society for Risk Analysis‎$g‎Vol. 23, nº 6, December, 2003 ; p. 1165-1172