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  1. Fulltext. Application of inverse Gaussian distribution to occupational exposure data.

    Article - En anglais

    Fulltext.

    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

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 97-0503625

    Code Inist : 001D16C06. Création : 13/02/1998.



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