Determining Statistical Characteristics of a Vehicle Emissions Audit Procedure
作者:
ThomasJ. Lorenzen,
期刊:
Technometrics
(Taylor Available online 1980)
卷期:
Volume 22,
issue 4
页码: 483-493
ISSN:0040-1706
年代: 1980
DOI:10.1080/00401706.1980.10486198
出版商: Taylor & Francis Group
关键词: Multiple attribute;Multivariate normality;Box-Cox power transformation;Outliers;Risk analysis
数据来源: Taylor
摘要:
The Environmental Protection Agency currently audits automobiles for emissions compliance at assembly plants with multiple attribute multiple staged sampling plans. This paper summarizes the auditing procedure and develops methods for determining its statistical characteristics. Specifically, we consider how to evaluate a multiple attribute multiple staged sampling plan, give a procedure that efficiently estimates attribute-type probabilities from multivariate variables-type data, and quantify the effect of tightening the acceptable quality level of the sampling plan. A key technique for this analysis is the multivariate version of the Box-Cox power transformation. All procedures are illustrated with data from a typical vehicle configuration.
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