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Effective random seeding of random number generators
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  • Session XV Tutorials And General Applications
  • Published: January 1981

Effective random seeding of random number generators

  • Howard L. Kaplan1 

Behavior Research Methods & Instrumentation volume 13, pages 283–289 (1981)Cite this article

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  • 55 Citations

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Abstract

To obtain different sequences of values from a random number generating algorithm, we must start with different seed values or discard a variable number of initial samples. For maximum independence among sequences, differences must include the lowest order seed bits, and some generators require one to wait many samples for differences to propagate to the significant bits. While it is straightforward to generate two statistically independent sequences, it is surprisingly difficult to generate three or more such sequences.

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Reference note

  1. Kaplan, H. L. Generation of appropriate seed values for reuse of the same random number generator. Manuscript in preparation, 1981.

References

  • Jansson, B.Random number generators. Stockholm: Victor Pettersons Bookindustriab, 1966.

    Google Scholar 

  • Knuth, D. E. Random numbers. InThe art of computer programming (Vol. 2).Seminumerical algorithms. Reading, Mass: Addison-Wesley, 1969.

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Author information

Authors and Affiliations

  1. Addiction Research Foundation, M5S 2S1, Toronto, Ontario, Canada

    Howard L. Kaplan

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  1. Howard L. Kaplan
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Kaplan, H.L. Effective random seeding of random number generators. Behavior Research Methods & Instrumentation 13, 283–289 (1981). https://doi.org/10.3758/BF03207952

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  • Issue Date: January 1981

  • DOI: https://doi.org/10.3758/BF03207952

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Keywords

  • Additive Generator
  • Word Length
  • Random Number Generator
  • Seed Number
  • List Length
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