Studies on Methods of Random Number Generation for Computer Simulation.

Abstract

Results of studies to date indicate that the multiplicative or power residue method is generally satisfactory. The results employing the method on the GE 225, however, indicate that the sampling distribution of the means and variances have dispersions less than those expected from random samples. This is not a serious fault in many applications. However, when an important feature of a study employing random number generators involves empirical estimates of confidence intervals, the multiplicative generator leaves much to be desired.

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1966
Accession Number
ADA079272

Entities

People

  • M. A. Seawright
  • S. A. Sachs
  • W. D. Larkin

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Collecting Methods
  • Computer Simulations
  • Computers
  • Demographic Cohorts
  • Dispersions
  • Generators
  • Intervals
  • Random Number Generators
  • Sampling
  • Simulations
  • Simulators
  • Statistical Samples

Readers

  • Approximation Theory.
  • Computer Programming and Software Development.
  • Systems Analysis and Design