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Statistical Issues in Sampling for Compliance to Exposure Standards.

PB97113682

Publication Date	1996
Personal Author	Symons, M. J.; Flynn, M. R.; Rapport, S. M.; Truong, K. N.
Page Count	40
Abstract	Statistical approaches for analysis of data from the limited number of samples collected by an industrial hygienist for checking compliance to an occupational standard were considered. Sampling for compliance usually has been guided by judgement selection, rather than randomness, resulting in the creation of compliance samples which approximate a censored sample from the upper tail of the exposure distribution. A graphical approximate based idea was developed, which appears useful with small numbers of compliance samples which are typically collected, less than ten. Assuming lognormality of the workplace exposures, considered as common with time weighted averages over hours of collection, and assuming the industrial hygienist has the ability to select the greatest and the least exposures, one is able to sketch a lognormal probability paper based inference scheme. Simple linear regression analysis provides an estimate of the median, the variance among jobs, and a subtotal of variance components.
Keywords	Industrial hygiene Occupational safety and health Standards compliance Sampling Statistical analysis Exposure Workplace studies
Source Agency	National Institute for Occupational Safety and Health
NTIS Subject Category	57U - Public Health & Industrial Medicine 68G - Environmental Health & Safety 94D - Job Environment
Corporate Authors	North Carolina Univ. at Chapel Hill. School of Public Health.; National Inst. for Occupational Safety and Health, Cincinnati, OH.
Supplemental Notes	Sponsored by National Inst. for Occupational Safety and Health, Cincinnati, OH.
Document Type	Technical Report
Title Note	Final technical rept.
NTIS Issue Number	199702

Statistical Issues in Sampling for Compliance to Exposure Standards.

Statistical Issues in Sampling for Compliance to Exposure Standards.
PB97113682

Publication Date	1996
Personal Author	Symons, M. J.; Flynn, M. R.; Rapport, S. M.; Truong, K. N.
Page Count	40
Abstract	Statistical approaches for analysis of data from the limited number of samples collected by an industrial hygienist for checking compliance to an occupational standard were considered. Sampling for compliance usually has been guided by judgement selection, rather than randomness, resulting in the creation of compliance samples which approximate a censored sample from the upper tail of the exposure distribution. A graphical approximate based idea was developed, which appears useful with small numbers of compliance samples which are typically collected, less than ten. Assuming lognormality of the workplace exposures, considered as common with time weighted averages over hours of collection, and assuming the industrial hygienist has the ability to select the greatest and the least exposures, one is able to sketch a lognormal probability paper based inference scheme. Simple linear regression analysis provides an estimate of the median, the variance among jobs, and a subtotal of variance components.
Keywords	Industrial hygiene Occupational safety and health Standards compliance Sampling Statistical analysis Exposure Workplace studies
Source Agency	National Institute for Occupational Safety and Health
NTIS Subject Category	57U - Public Health & Industrial Medicine 68G - Environmental Health & Safety 94D - Job Environment
Corporate Authors	North Carolina Univ. at Chapel Hill. School of Public Health.; National Inst. for Occupational Safety and Health, Cincinnati, OH.
Supplemental Notes	Sponsored by National Inst. for Occupational Safety and Health, Cincinnati, OH.
Document Type	Technical Report
Title Note	Final technical rept.
NTIS Issue Number	199702