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The following HTML text is provided to enhance online readability. Many aspects of typography translate only awkwardly to HTML. Please use the page image as the authoritative form to ensure accuracy. bined with a dose-response assessment to ascertain the likelihood of a risk of infection or illness of a given magnitude. ReferencesBurmaster, D. E., and P. D. Anderson. 1994. Principles of good practice for the use of Monte Carlo techniques in human health and ecological risk assessment. Risk Analysis 14(4): 477-481. Finkel, A. M. 1990. Confronting Uncertainty in Risk Management. Washington D.C.: Resources for the Future, Center for Risk Management. Haas, C. N., J. B. Rose, C. P. Gerba, and S. Regli. 1993. Risk assessment of virus in drinking water. Risk Analysis 13(5):545-552. James M. Montgomery Consulting Engineers. 1979. Water Factory 21 Virus Study, Orange County Water District. New York: John Wiley. Ku, H. 1966. Notes on the use of propagation of error formulas. Journal of Research of the National Bureau of Standards-C: Engineering and Instrumentation 70C(4):263-273. Smith, R. L. 1994. Use of Monte Carlo simulation for human exposure assessment at a Superfund site. Risk Analysis 14(4):433-439. Stuart, A., and J. K. Ord. 1987. Kendall's Advanced Theory of Statistics. New York:Oxford University Press.
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