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 to . As an example, suppose the uncertainty has the following components: 5% from pump error and also a 5% analytical relative standard deviation. Suppose = 20%. Suppose bias and the analytical uncertainty are measured with υ = 15 degrees of freedom. Then 10,000-point simulations indicate that the calculated A95% is slightly conservative, giving 96% confidence. 7. REFERENCES: [1] ISO [1993]. Guide to the expression of uncertainty in measurement. Geneva, Switzerland: International Organization for Standardization. [2] ISO 11222 [2002]. Air quality - Determination of the uncertainty of the time average of air quality measurements, International Organization for Standardization. Geneva, Switzerland: International Organization for Standardization. [3] EURACHEM/CITAC [2000]. Quantifying Uncertainty in Analytical Measurement, 2nd edition, Eurachem. [4] ISO 17025 [1999]. General requirements for the competence of testing and calibration laboratories. Geneva, Switzerland: International Organization for Standardization. [5] ISO 15767 [2003]. Workplace atmospheres - controlling and characterizing errors in weighing collected aerosols. International Organization for Standardization, Geneva, Switzerland: International Organization for Standardization. [6] Busch KA [1977]. SCP Statistical Protocol, in: Taylor DG, Kupel RE, and Bryant JM, eds. Documentation of the NIOSH Validation Tests. U.S. Department of Health, Education, and Welfare, Public Health Services, Centers for Disease Control, National Institute for Occupational Safety and Health, DHEW (NIOSH) Publication. No. 77-185. [7] Kennedy ER, Fischbach TJ, Song R, Eller PM and Shulman SA [1995]. Guidelines for Air Sampling and Analytical Method Development and Evaluation. Cincinnati, Ohio: U.S. Department of Health and Human Services, Public Health Services, Centers for Disease Control and Prevention, National Institute for occupation Safety and Health, DHHS (NIOSH) Publication No. 95-117, Cincinnati. [8] Vaughn NP, Chalmers CP, Botham RA. [1990]. Field comparison of personal samplers for inhalable dust. Annals of Occupational Hygiene, 34 (6):553-573. [9] ASTM D 6246 [2002]. Standard practice for evaluating the performance of diffusive samplers: West Conshohocken, Pennsylvania: American Society for Testing and Materials International. [10] ASTM D 6062M [1996]. Standard Guide for Personal Samplers of Health-Related Aerosol Fractions: West Conshohocken, Pennsylvania, American Society for Testing and Materials International, and references to ISO/CEN/ACGIH therein. [11] Bartley DL [2001]. Definition and Assessment of Sampling and Analytical Accuracy. Annals of Occupational Hygiene 45 (5):357-364. [12] Bartley DL and Irwin KC [2002]. Accuracy in measurements using diffusive samplers, Proceedings of the International Conference on Diffusive Samplers, Montpellier, France. [13] Hald A [1952]. A statistical theory with engineering applications. New York: John Wiley & Sons. [14] Wald A [1942]. Setting tolerance limits when the sample is large, Annals of Mathematical Statistics 13:289-299. [15] Wald A [1943]. An extension of Wilk’s method for setting tolerance limits. Annals of Mathematical Statistics 14: 5-55.

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