Optimal discrete approximations for continuous outcomes with applications in decision and risk analysis

Journal of the Operational Research Society

Volumn 40, Issue 4, 1989, Pages 379-388

  Zaino, Nicholas A ^a   D’Errico, John ^a  

^a EASTMAN KODAK COMPANY   (United States)

Author keywords

Decision analysis; Discrete approximations; Expert judgement; Risk analysis

Indexed keywords

EID: 84974856863     PISSN: 01605682     EISSN: 14769360     Source Type: Journal    
DOI: 10.1057/jors.1989.56     Document Type: Article

References (9)

1. M. Henrion (1985) Software for decision analysis: a review of Riskcalc, Arborist, and Supertree. OR/MS Today 12, 24-29.
2. C. A. Holloway (1979) Decision Making Under Uncertainty: Models and Choices. Prentice-Hall, Englewood Cliffs, NJ.
3. D. L. Keefer and S. E. Bodily (1983) Three-point approximations for continuous random variables. Mgmt Sci. 25, 595-609.
4. E. S. Pearson and J. W. Tukey (1965) Approximate means and standard deviations based on distances between percentage points of frequency curves. Biometrika 52, 533-546.
5. J. D’Errico and N. A. Zaino (1988) Statistical tolerancing using a modification of Taguchi’s method. Technometrics 30, 397-405.
6. D. B. Hertz and H. Thomas (1983) Risk Analysis and Its Applications. Wiley, New York.
7. B. C. Ball (1982) Managing risk for the real world. Presented at EURO V/TIMS XXV, Lausanne, Switzerland.
8. G. Taguchi (1978) Performance analysis design. Int. J. Prod. Res. 16, 521-530.
9. C. S. Spetzler and C. S. Stael von Holstein (1975) Probability encoding in decision analysis. Mgmt Sci. 22, 340-358.