Accommodating uncertainty in comparative risk
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<title>Accommodating uncertainty in comparative risk</title>
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<title>Risk analysis : an international journal</title>
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<namePart>Andrews, Clinton J.</namePart>
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<namePart>Hassenzahl, David M.</namePart>
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<namePart>Johnson, Branden B.</namePart>
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<abstract>Comparative risk projects can provide broad policy guidance but they rarely have adequate scientific foundations to support precise risk rankings. Many extant projects report rankings anyway, with limited attention to uncertainty. The recently complete New Jersey Comparative Risk Project was innovative in trying to acknowledge and accomodate some historically ignored uncertainties in a substantive manner. This article examines the methods used and lesson learned from the New Jersey project</abstract>
<note type="statement of responsibility">Clinton J. Andrews, David M. Hassenzahl, Branden B. Johnson</note>
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<topic>Métodos de análisis</topic>
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<topic>Análisis de riesgos</topic>
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<topic>Análisis comparativo</topic>
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<topic>Incertidumbre</topic>
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<topic>Simulación Monte Carlo</topic>
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<title>Risk analysis : an international journal</title>
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<text>nº 5, October 2004 ; p. 1323-1335</text>
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