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Portable random number generators

Author

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  • Dwyer, Gerald Jr.
  • Williams, K. B.

Abstract

Computers are deterministic devices, and a computer-generated random number is a contradiction in terms. As a result, computer-generated pseudorandom numbers are fraught with peril for the unwary. We summarize much that is known about the most well-known pseudorandom number generators: congruential generators. We also provide machine-independent programs to implement the generators in any language that has 32-bit signed integers-for example C, C++, and FORTRAN. Based on an extensive search, we provide parameter values better than those previously available.
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Suggested Citation

  • Dwyer, Gerald Jr. & Williams, K. B., 2003. "Portable random number generators," Journal of Economic Dynamics and Control, Elsevier, vol. 27(4), pages 645-650, February.
    • Handle: RePEc:eee:dyncon:v:27:y:2003:i:4:p:645-650
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    1. Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1998. "Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 361-393.
    2. F. Schmid & N. B. Wilding, 1995. "Errors In Monte Carlo Simulations Using Shift Register Random Number Generators," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 6(06), pages 781-787.
    3. Pierre L'Ecuyer, 1996. "Combined Multiple Recursive Random Number Generators," Operations Research, INFORMS, vol. 44(5), pages 816-822, October.
    4. Gerald P. Dwyer, Jr. & K. B. Williams, "undated". "Random Number Generators," Computing in Economics and Finance 1997 157, Society for Computational Economics.
    5. McCullough, B D, 1999. "Econometric Software Reliability: EViews, LIMDEP, SHAZAM and TSP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 191-202, March-Apr.
    6. Pierre L'Ecuyer, 1997. "Bad Lattice Structures for Vectors of Nonsuccessive Values Produced by Some Linear Recurrences," INFORMS Journal on Computing, INFORMS, vol. 9(1), pages 57-60, February.
    7. Pierre L'Ecuyer, 1999. "Good Parameters and Implementations for Combined Multiple Recursive Random Number Generators," Operations Research, INFORMS, vol. 47(1), pages 159-164, February.
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    Cited by:

    1. Tang, Hui-Chin, 2006. "Theoretical analyses of forward and backward heuristics of multiple recursive random number generators," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1760-1768, November.

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