A New Empirical Test for the Quality of Random Integer Generators

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Abstract

In a number of applications, it is necessary to generate stimuli: to generate random patterns when random testing of logic faults is employed, and to generate the random occurrence of events when simulation is used, to mention two. In this paper, we show a quick empirical test, which is based on a data compression method, to analyze the pseudorandom integers generated by certain types of random integer generators and to determine whether the approximation to a true random process is good.

Original languageEnglish (US)
Pages (from-to)960-961
Number of pages2
JournalIEEE Transactions on Computers
VolumeC-32
Issue number10
DOIs
StatePublished - Oct 1983
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computational Theory and Mathematics

Keywords

  • Confidence interval
  • mean
  • random integer generator
  • variance

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