Back to Search Start Over

Application of a stochastic, Weibull probability generator for replacing missing data on ambient concentrations of gaseous pollutants

Authors :
Legge, A. H.
Krupa, S. V.
Nosal, M.
Source :
Environmental Pollution; 2000, Vol. 108 Issue 3, p439, 0p
Publication Year :
2000

Abstract

A stochastic, three-parameter, Weibull frequency distribution, probability generator was tested by using theoretical data. Subsequently, it was applied to replace missing values of hourly atmospheric concentrations of trace gases that were continuously monitored at three study sites, for 2 years. The results were highly accurate and realistic. The cumulative means and the medians calculated by the Weibull method were intermediate between corresponding values calculated by uniform substitution of missing values with `zero' or with half of the minimum detection limit of the appropriate measurement instrument used. Furthermore, the Weibull method allowed the replacement of as many as100 missing values on either side of a measured data sub-set, without altering the overall characteristics of the true frequency distribution of the entire data set. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
STATISTICS
ATMOSPHERE

Details

Language :
English
ISSN :
02697491
Volume :
108
Issue :
3
Database :
Supplemental Index
Journal :
Environmental Pollution
Publication Type :
Academic Journal
Accession number :
8290690