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Main Title Fitting Statistical Distributions to Air Quality Data by the Maximum Likelihood Method.
Author Holland, D. M. ; Fitz-Simons, T. ;
CORP Author Environmental Monitoring Systems Lab., Research Triangle Park, NC.
Year Published 1982
Report Number EPA-600/J-81-160;
Stock Number PB84-174606
Additional Subjects Air pollution ; Statistical distributions ; Concentration(Composition) ; Normal density functions ; Weibull density functions ; Probability theory ; Reprints ; Air quality data ; Maximum likelihood estimation ; Lognormal density functions ; Gamma density functions ; Johnson density functions ; Beta density functions ; Goodness of fit ; MAXFIT computer program
Library Call Number Additional Info Location Last
NTIS  PB84-174606 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 8p
Abstract A computer program has been developed for fitting statistical distributions to air pollution data using maximum likelihood estimation. Appropriate uses of this software are discussed and a grouped data example is presented. The program fits the following continuous distributions: normal, three-parameter lognormal, three-parameter gamma, three-parameter Weibull, Johnson (S sub B), and four-parameter beta. The parameters of each distribution are estimated by closed solutions and the Nelder-Mead Simplex iterative search. Graphical output contains a plot of the fitted distribution superimposed upon the histogram of the data 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.
Availability Notes Pub. in Atmospheric Environment v16, n5 p1071-1076.
NTIS Title Notes Journal article.
Title Annotations Reprint: Fitting Statistical Distributions to Air Quality Data by the Maximum Likelihood Method.
PUB Date Free Form 1982
Category Codes 13B; 12A; 9B; 68A
NTIS Prices Not available NTIS
Primary Description 600/08
Document Type NT
Cataloging Source NTIS/MT
Control Number 416025456
Origin NTIS
Type CAT