Occupational exposure concentrations are generally assumed to vary in a log-normal manner.
However, because the mean of random samples from a log-normal distribution is not log-normally distributed, it cannot, in theory, deal with the changes in the distribution of time-weighted average (TWA) values when the averaging time varies.
On the other hand, inverse Gaussian distribution, which is similar to a log-normal one, offers the advantage of reproducibility.
This paper proposes the application of inverse Gaussian distribution to occupational exposure data.
First, inverse Gaussian distribution was compared with the log-normal one.
Second, in order to simplify the application, the percentiles of inverse Gaussian distribution with CV=0.25 to 4 were calculated.
Finally, this distribution was applied to occupational exposure data.
Mots-clés Pascal : Exposition professionnelle, Médecine travail, Teneur air ambiant, Lieu travail, Loi normale inverse, Etude statistique, Variation temporelle, Homme, Moyenne
Mots-clés Pascal anglais : Occupational exposure, Occupational medicine, Ambient air concentration, Work place, Inverse normal distribution, Statistical study, Time variation, Human, Average
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 97-0503625
Code Inist : 001D16C06. Création : 13/02/1998.