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Main Title Testing the validity of the lognormal probability model : computer analysis of carbon monoxide data from U.S. cities /
Author Ott, Wayne R.,
Other Authors
Author Title of a Work
Mage, David T.,
Randecker, Victor W.,
CORP Author Environmental Protection Agency, Washington, DC. Office of Monitoring and Technical Support.
Publisher Office of Monitoring and Technical Support, Office of Research and Development, U.S. Environmental Protection Agency,
Year Published 1979
Report Number EPA-600/4-79-040
Stock Number PB88-246053
OCLC Number 05730423
Subjects Carbon monoxide--Mathematical models ; Air--Pollution--United States
Additional Subjects Carbon monoxide ; Probability distribution functions ; Mathematical models ; United States ; Computers ; Tables(Data) ; Environmental monitoring ; Air quality data
Internet Access
Description Access URL
Local Library Info
Library Local Subject Local Note
N/A EPA-600/4-79-040 see EPAX 8811-0104
Library Call Number Additional Info Location Last
EJBD  EPA 600-4-79-040 Headquarters Library/Washington,DC 05/01/2014
EKBD  EPA-600/4-79-040 Research Triangle Park Library/RTP, NC 08/22/2003
ELBD ARCHIVE EPA 600-4-79-040 Received from HQ AWBERC Library/Cincinnati,OH 10/04/2023
ESAD  EPA 600-4-79-040 Region 10 Library/Seattle,WA 07/13/2007
NTIS  PB88-246053 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation viii, 334 pages : illustrations, figures, tables ; 28 cm.
A stratified sample consisting of 11 data sets from an original list of 166 CO air quality data sets in SAROAD was selected as a 'national crossection' of observed U.S. CO concentrations, along with a longitudinal group of data sets from a single air monitoring station. The adequacy of the 2-parameter lognormal probability model (LN2) was tested using these data. A special-purpose computer program was developed for calculating the parameters of the LN2 model using four different techniques: (1) direct 'method of moments'; (2) Larsen's 'method of fractiles'; (3) 'maximum likelihood estimation' (MLE) for grouped data using an MLE approximation technique; and (4) MLE for grouped data using computer optimization.
"June 1979." Includes bibliographical references (pages 208-214)