| Contents Notes |
Ch. 1. Introduction and objectives / A. Hart ... [et al.] -- ch. 2. Problem formulation for probabilistic ecological risk assessments / A. Hart ... [et al.] -- ch. 3. Issues underlying the selection of distributions / D. Farrar ... [et al.] -- ch. 4. Monte Carlo, Bayesian Monte Carlo, and first-order error analysis / W.J. Warren-Hicks ... [et al.] -- ch. 5. The Bayesian vantage for dealing with uncertainty / D.A. Evans ... [et al.] -- ch. 6. Bounding uncertainty analyses / S. Ferson ... [et al.] -- ch. 7. Uncertainty analysis using classical and Bayesian hierarchical models / D.R.J. Moore ... [et al.] -- ch. 8. Interpreting and communicating risk and uncertainty for decision making / J.L. Shaw ... [et al.] -- ch. 9. How to detect and avoid pitfalls, traps, and swindles / G. Joermann ... [et al.] -- ch. 10. Conclusions / A. Hart ... [et al.]. Identifies which methods are most appropriate for pesticide assessment and explores their appropriateness as a common suite for general use. This work discusses classical and Bayesian approaches, various types of Monte Carlo analysis, first order error analysis, probability bounds analysis, interval analysis and fuzzy mathematics. |
