title: The 4-parameter lognormal (SB) model of human exposure.
abstract: This paper explores the 4-parameter lognormal distribution (or Johnson S(B) distribution) as a model for occupational exposures to airborne contaminants. This model can incorporate extreme values when they are known a priori, or alternatively, they can be estimated from the data. This additional flexibility may be of value in estimating background and/or maximum exposures, as well as improving the fitting process and subsequent estimation of mean exposures. In addition, the model is physically consistent with the definition of concentration and provides a basis for linking stochastic and deterministic exposure modeling approaches. There is some additional computational burden in estimating the mean and variance of exposure relative to the usual 2-parameter lognormal model.
authors.affiliation: CB7431 Rosenau Hall, Department of Environmental Sciences and Engineering, School of Public Health, University of North Carolina, Chapel Hill, NC 27599-7431, USA. mike-flynn@unc.edu
authors.forename: Michael R
authors.initials: MR
authors.lastname: Flynn
mesh_terms: D000395:Air Pollutants, Occupational / Q000032:analysis*; D004784:Environmental Monitoring / Q000379:methods; D006801:Humans; D015233:Models, Statistical; D016273:Occupational Exposure / Q000032:analysis*
chemical_list: D000395:Air Pollutants, Occupational