OLS : Record


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
Subjects Air pollution; Probability theory; Standards; Air quality data; National Ambient Air Quality Standard; Empirical Bayes methodology; Numerical solution
Library   Call Number Additional Info Location Date Modified
NTIS PB84-235118 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 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.
PUB Date Free Form Aug 84
Category Codes 13B; 68A
NTIS Prices PC A02/MF A01
Primary Description 600/08
Document Type NT
Control Number 434223654
Cataloging Source NTIS/MT
Origin NTIS
Type CAT