APPLICATION OF INVERSE GAUSSIAN DISTRIBUTION TO OCCUPATIONAL EXPOSURE DATA

Open Access

1 October 1997

journal article
research article
Published by Oxford University Press (OUP) in Annals of Occupational Hygiene

Vol. 41 (5) , 505-514
https://doi.org/10.1093/annhyg/41.5.505-a

Abstract

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. © 1997 British Occupational Hygiene Society. Published by Elsevier Science Ltd.

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