A Statistical Evaluation of Multiplicative Congruential Generators with Modulus 2 Super 31-1.

Abstract

This paper presents the results of empirically testing eight alternative multipliers for a multiplicative congruential generator with modulus 2 Super 31-1. The LLRANDOM number package (Learmonth and Lewis 1973) uses one of the multipliers, the simulating programming language SIMSCRIPT II uses a second and the remaining six are the best of 50 candidate multipliers studied by Hoaglin (1976) using the theoretical spectral and lattice tests. The battery of tests raises serious doubts about three of the multipliers, including the one in LLRANDOM. The power of the tests is demonstrated by their rejection of RANDU, a notably poor random number generator. A comparison of the results for the eight multipliers with the eight worst multipliers (with regard to 2-tuples) in Hoaglin(1976) failed to show any apparent gross differences. Since examination of performance on the lattice test revealed that the 16 multipliers clustered in performance when compared to RANDU, one may conjecture that the poorer lattice test performance for the worst eight is too subtle for detection by our empirical tests. Since this failure may not be as serious as the lattice test implies, one may want to revise upward the criteria for acceptable performance on the lattice tests and similarly on the spectral test.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1978
Accession Number
ADA063858

Entities

People

  • George S. Fishman
  • Louis R. Moore

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programming
  • Data Science
  • Detection
  • Distribution Functions
  • Four Dimensional
  • Generators
  • Information Science
  • Language
  • Normal Distribution
  • North Carolina
  • Numbers
  • Probability
  • Programming Languages
  • Random Number Generators
  • Rejection
  • Statistics

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computational Modeling and Simulation
  • Computer Programming and Software Development.