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Annals of Occupational Hygiene Advance Access originally published online on September 22, 2004
Annals of Occupational Hygiene 2004 48(7):617-622; doi:10.1093/annhyg/meh071
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© British Occupational Hygiene Society Published by Oxford University Press;

The 4-Parameter Lognormal (SB) Model of Human Exposure

MICHAEL R. FLYNN*

CB7431 Rosenau Hall, Department of Environmental Sciences and Engineering, School of Public Health, University of North Carolina, Chapel Hill, NC 27599-7431, USA

* Tel: +1-919-966-3473; fax: +1-919-966-7911; e-mail: mike-flynn{at}unc.edu

Received 25 October 2003; in final form 3 June 2004

This paper explores the 4-parameter lognormal distribution (or Johnson SB 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.

Keywords: exposure modeling • Johnson SB distribution • 4-parameter lognormal distribution


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M. R. Flynn
Analysis of Exposure Biomarker Relationships with the Johnson SBB Distribution
Ann. Hyg., August 9, 2007; (2007) mem033v1.
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