Quality of Random Number Generators

  • James E. Gentle
Part of the Statistics and Computing book series (SCO)

Abstract

Ziff (1992) describes a simulation requiring a total of 6 × 1012 random numbers and using a few months computing time on about a dozen workstations running simultaneously. Research work like this that depends so heavily on random numbers emphasizes the need for high-quality random number generators. Yet, as we have seen, not all random number generators are good ones (Park and Miller, 1988, and Ripley, 1988).

Keywords

Random Number Generator Pseudorandom Sequence Gray Code Output Stream Pseudorandom Generator 
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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Copyright information

© Springer Science+Business Media New York 1998

Authors and Affiliations

  • James E. Gentle
    • 1
  1. 1.Institute for Computational Sciences and InformaticsGeorge Mason UniversityFairfaxUSA

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