Inferring the Attainment of National Ambient Air Quality Standards using Missing Value Time Series Techniques

Conference paper
Part of the Lecture Notes in Statistics book series (LNS, volume 25)


Data records from ambient air quality monitors commonly contain a substantial fraction of missing values. We discuss the problem of inferring whether air quality standards have been attained based on an incomplete record, and suggest how current missing value time series techniques might be applied to the problem.


Conditional Distribution Pollutant Concentration Total Suspended Particulate Temporal Independence Indicator Series 
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Copyright information

© Springer-Verlag Berlin Heidelberg 1984

Authors and Affiliations

  1. 1.Systems Applications, Inc.San RafaelUSA

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