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A task-based statistical model of a worker's exposure distribution. Part II : application to sampling strategy

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Título: A task-based statistical model of a worker's exposure distribution. Part II : application to sampling strategy / Mark Nicas and Robert C. SpearAutor: Nicas, Mark
Notas: Sumario: A task- based statistical model of a worker's exposure distribution for an airborne chemical toxicant is applied to estimating the long-term average exposure level, micro. The precision in estimation is represented by the variance of the sample estimator. This paper will show how the task-based model described in Part I can be used to devise the most efficient sampling strategy for estimating a worker's long-term average exposure level, micro, which os of interest for chronic toxicantsRegistros relacionados: En: American Industrial Hygiene Association journal. - Fairfax, Virginia. - Vol. 54, nº 5, May 1993 ; p. 221-227Materia / lugar / evento: Higiene industrial Contaminantes químicos Modelos matemáticos Riesgo químico Toxicidad Estrategia empresarial Muestreos Métodos estadísticos Otros autores: Spear, Robert C.
Títulos secundários: Título: American Industrial Hygiene Association journal
Outras classificações: 872