Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title The maximum likelihood approach to probabilistic modeling of air quality data /
Author Fitz-Simons, Terence.
Other Authors
Author Title of a Work
Fitz-Simons, Terence.
Holland, David M.,
CORP Author Environmental Monitoring and Support Lab., Research Triangle Park, NC.
Publisher Environmental Monitoring and Support Laboratory, Office of Research and Development, U.S. Environmental Protection Agency,
Year Published 1979
Report Number EPA-600/4-79-044
Stock Number PB80-104110
OCLC Number 53093266
Additional Subjects Statistical analysis ; Air pollution ; Weibull density functions ; Gamma function ; Statistical tests ; Chi square test ; Kolmogorov-Smirnov test ; Normal density functions ; Computer programming ; Mathematical models ; Subroutines ; MAXFIT computer program ; Gamma density functions ; Lognormal density functions ; Maximum likelihood estimation
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EJBD ARCHIVE EPA 600/4-79-044 Headquarters Library/Washington,DC 04/09/2014
EJBD  EPA 600/4-79-044 Headquarters Library/Washington,DC 04/14/2014
EKBD  EPA-600/4-79-044 Research Triangle Park Library/RTP, NC 10/02/2003
ESAD  EPA 600-4-79-044 Region 10 Library/Seattle,WA 03/23/2010
NTIS  PB80-104110 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 01/01/1988
Collation vi, 34 p. : ill. ; 28 cm.
Software using maximum likelihood estimation to fit six probabilistic models is discussed. The software is designed as a tool for the air pollution researcher to determine what assumptions are valid in the statistical analysis of air pollution data for the purpose of standard setting, roll-back calculations, estimation of maximum concentrations, threshold approximations, and handling missing observations. The program fits user's data to the normal distribution, the 3-parameter lognormal distribution, the 3-parameter Weibull distribution, the 3-parameter gamma distribution, the Johnson S(B) distribution (a 4-parameter lognormal distribution), and the 4-parameter beta distribution. The parameters are estimated using standard closed solutions to maximizing equations, and a golden section search for all other parameters. Graphical output contains a histogram of the data superimposed by the fitted density for each model. Six goodness-of-fit criteria are supplied and ranked by the program to aid in the selection of the most appropriate choice among the six models. These criteria are absolute deviations, weighted absolute deviations, Kolmogorov-Smirnov statistic, Cramer-von Mises-Smirnov statistic, the log-likelihood function, and the observed significance level of the Chi-square goodness-of-fit test. The results of applying the program to several subsets of the Los Angeles Catalyst Study data base are presented.
"July 1979"--Cover. "EPA-600/4-79-044"--Cover.