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

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      <subfield code="a">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</subfield>
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