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Simulating Random Numbers from a Uniform Distribution

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

Abstract

Because many statistical methods rely on random samples, applied statisticians often need a source of “random numbers”. Older reference books for use in statistical applications contained tables of random numbers, which were intended to be used in selecting samples or in laying out a design for an experiment. Statisticians now rarely use printed tables of random numbers, but occasionally computer-accessed versions of such tables are used. Far more often, however, the computer is used to generate “random” numbers directly.

Keywords

Random Number Generator Pseudorandom Number Primitive Root Modular Reduction Congruential 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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