Comparing Inverse, Polar, and Rectangle-Wedge-Tail Fortran Routines for Pseudo-Random Normal Number Generation

Autor: Silas Halperin, Michael Dolker
Rok vydání: 1982
Předmět:
Zdroj: Educational and Psychological Measurement. 42:223-226
ISSN: 1552-3888
0013-1644
DOI: 10.1177/0013164482421026
Popis: A FORTRAN IV version of the Marsaglia rectangle-wedge-tail algorithm and IMSL's commercially available Box-Muller polar method of normal deviate pseudo-random number generation were combined with various linear congruential uniform pseudo-random number generations and tested on a 32-bit-word IBM 370/155 computer. Looking at their relative speed and degree of meeting normality as joint performance criteria placed Marsaglia's method very slightly ahead of Box-Muller's. A commercially available IMSL inverse normal subroutine performed least effectively.
Databáze: OpenAIRE