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Generation of Dependent Random Variates with Given Marginal Distributions and Fractile Correlation Structure

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  • Fackler, Paul L.
  • King, Robert P.

Abstract

A method is developed to generate dependent pseudorandom variates with specified marginal distributions and correlation matrix which makes use of the fractile correlation rather than the usual cross product moment correlation. An example concerning crop yields illustrates how the parameters used by the method can be estimated from historical data.

Suggested Citation

  • Fackler, Paul L. & King, Robert P., "undated". "Generation of Dependent Random Variates with Given Marginal Distributions and Fractile Correlation Structure," 1988 Annual Meeting, August 1-3, Knoxville, Tennessee 270406, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea88:270406
    DOI: 10.22004/ag.econ.270406
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    References listed on IDEAS

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    1. Darrell J. Bosch & Vernon R. Eidman, 1987. "Valuing Information When Risk Preferences Are Nonneutral: An Application to Irrigation Scheduling," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(3), pages 658-668.
    2. King, Robert P., 1979. "Operational Techniques for Applied Decision Analysis Under Uncertainty," AAEA Fellows - Dissertations and Theses, Agricultural and Applied Economics Association, number 181951.
    3. King, Robert P. & Lybecker, Donald W., 1983. "Flexible, Risk-Oriented Marketing Strategies For Pinto Bean Producers," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 8(2), pages 1-10, December.
    4. repec:ags:agsaem:288652 is not listed on IDEAS
    5. Anderson, Jock R., 1974. "Simulation: Methodology and Application in Agricultural Economics," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 42(01), pages 1-53, March.
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