Modeling mixed exposures: an application to welding fumes in the construction trades
| Autor: | Michael R. Flynn, Pam Susi |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Multivariate statistics
Environmental Engineering media_common.quotation_subject Multivariate normal distribution Welding law.invention law Statistics Log-normal distribution Environmental Chemistry Environmental science Probability distribution Safety Risk Reliability and Quality Risk assessment Normality General Environmental Science Water Science and Technology media_common Mixed exposure |
| Zdroj: | Stochastic Environmental Research and Risk Assessment. 24:377-388 |
| ISSN: | 1436-3259 1436-3240 |
| DOI: | 10.1007/s00477-009-0327-x |
| Popis: | Workers are often exposed to mixtures of airborne contaminants which may complicate health studies, risk assessments, and epidemiological investigations. In situations where these mixed exposures are correlated, multivariate probability distributions may serve as models suitable for description and subsequent inference. This paper presents a methodology for modeling correlated mixed exposures using the Johnson system of multivariate probability distributions. This system involves transformations to normality and includes the multivariate normal and lognormal distributions, among others. The technique is illustrated with manganese exposures for pipefitters and boilermakers conditioned upon a measurement of total particulate exposure. Applications involving compliance and risk assessment for mixed exposure problems are presented using the fitted distributions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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