Multiple Missing Information

  • Stuart S. Nagel
Part of the Policy Studies Organization Series book series (PSOS)


The purpose of this chapter is to discuss the use of graphic procedures for dealing with multiple missing information through a review of an inexpensive but versatile graphic package called the Equation Plotter. For an example of multiple missing information, suppose one is faced with two alternatives. The first alternative scores $100 on benefits, but is unknown on costs. The second alternative score is unknown on benefits, but scores $60 on costs. Which alternative should be adopted?


Success Probability Indifference Curve Threshold Curve Threshold Point Reject Region 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Notes and References

  1. 1.
    For further details on this analysis, see C. Moore, Profitable Applications of the Break-Even System ( Englewood Cliffs, N.J.: Prentice-Hall, 1971 );Google Scholar
  2. S. Nagel, “Dealing with Unknown Variables in Policy/Program Evaluation”, Evaluation and Program Planning, 6: 7–18 (1983);CrossRefGoogle Scholar
  3. S. Nagel, “New Varieties of Sensitivity Analysis”, Evaluation Review, 9: 772–9 (1986);CrossRefGoogle Scholar
  4. and Samuel Richmond, Operations Research for Management Decisions (New York: Ronald Press, 1968): 108–12, 547–9.Google Scholar

Copyright information

© Policy Studies Organisation 1991

Authors and Affiliations

  • Stuart S. Nagel
    • 1
  1. 1.University of IllinoisUSA

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