Record Display for the EPA National Library Catalog

RECORD NUMBER: 11 OF 30

OLS Field Name OLS Field Data
Main Title Incorporating Measurement Uncertainty into Air Quality Evaluations.
Author Suggs, J. C. ; Curran, T. C. ;
CORP Author Environmental Monitoring Systems Lab., Research Triangle Park, NC.
Year Published 1984
Report Number EPA/600/D-84/208;
Stock Number PB84-235118
Additional Subjects Air pollution ; Probability theory ; Standards ; Air quality data ; National Ambient Air Quality Standard ; Empirical Bayes methodology ; Numerical solution
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB84-235118 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 06/23/1988
Collation 12p
Abstract
Decisions on air quality problems must often be made on the basis of existing ambient air quality data. One consideration in such situations is how to accomodate the uncertainty associated with these measurements. Measurement error is often stated in terms of a single measurement, while the decision is made on the basis of the entire data set for a year. Therefore, there is a practical need to translate the uncertainty statement for a single measurement into an uncertainty statement for the decision-making statistic. In a sense, the quality assurance statement for an individual measurement should be transformed into a quality assurance statement that is applicable to the decision that is made from the data. This paper develops an empirical Bayes framework for this type of problem and examines the application of this technique for a short-term National Ambient Air Quality Standard. The analytical results obtained from the empirical Bayes methodology are compared to results obtained from computer simulations.