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首页> 外文期刊>Transportation research, Part D. Transport and environment >Statistical methods for estimating speed correction factors with confidence intervals for mobile source emissions models
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Statistical methods for estimating speed correction factors with confidence intervals for mobile source emissions models

机译:Statistical methods for estimating speed correction factors with confidence intervals for mobile source emissions models

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摘要

Speed correction factors are an important component of mobilesource emissions models. The current "ratio of means" methodologyused by the California Air Resources Board(CARB)and the US EPA doesnot provide estimates of error or account for the dependence in thedata. A repeated measures regression method that takes into accountthe dependent in the data and provides estimates of error is proposedand illustrated using recent emissions data from CARB.

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