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Quantification of variability and uncertainty for censored data sets and application to air toxic emission factors

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<title>Quantification of variability and uncertainty for censored data sets and application to air toxic emission factors</title>
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<title>Risk analysis : an international journal</title>
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<name type="personal" usage="primary" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080059781">
<namePart>Zhao, Yuchao</namePart>
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<namePart>Frey, Christopher H.</namePart>
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<dateIssued encoding="marc">2004</dateIssued>
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<abstract>The purpose of this article was to demostrate a methodology for quantifying variability and uncertainty in air toxic emission factors in situations in which one or more data values are not detected. Toxic air pollutants are estimated to pose human health risks in urban areas</abstract>
<note type="statement of responsibility">Yuchao Zhao, H. Christopher Frey</note>
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<topic>Simulación Monte Carlo</topic>
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<topic>Modelos probabílisticos</topic>
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<topic>Incertidumbre</topic>
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<topic>Gases tóxicos</topic>
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<topic>Contaminación urbana</topic>
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<topic>Métodos de análisis</topic>
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<title>Risk analysis : an international journal</title>
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<publisher>New York and London</publisher>
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<identifier type="local">MAP20077000345</identifier>
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<text>nº24, August 2004; p.1019-1034</text>
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