|
ABSTRACT
The one-dimensional distribution of pseudorandom numbers generated by the ratio of uniforms method using linear congruential generators (LCGs) as the source of uniform random number is investigated in this note. Due to the two-dimensional lattice structure of LCGs there is always a comparable large gap without a point in the one-dimensional distribution of any ratio of uniforms method. Lower bounds for these probabilities only depending on the modulus and the Beyer quotient of the LCG are proved for the case that Cauchy normal or exponential random numbers are generated. These bounds justify the recommendation not to use the ratio of uniform method combined with LCGs.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
|
| |
2
|
AFFLERBACH, L. 1990b. Die gfitebewertung von pseudo-zufallszahlen-generatoren aufgrund theoretischer analysen und algorithmischer berechnungen. Grazer Mathematische ~Berichte Nr. 309, Graz. In German.
|
| |
3
|
AFFLERBACH, L. AND H6RMANN, W. 1992. Nonuniform random numbers: A sensitivity analysis for transformation methods. In the Internatwnal Workshop on Computatwnally Intensive Methods in Simulatwn and Optimtzation. Lecture Notes in Economics Mathematics Systems, vol. 374. Springer-Verlag, New York.
|
| |
4
|
AFFLERBACH, L. AND WENZEL, K. 1988. Normal random numbers lying on spirals and clubs. Stat. Papers 29, 237-244.
|
| |
5
|
DENG, L.Y. 1988. Robustness study of some random variate generators. In Computer Science and Stattstics: 20th Symposium on the Interface, eds. E. J. Wegman et al., 624 626.
|
| |
6
|
DEVROYE, L. 1986. Non-Uniform Random Variate Generation, Springer-Verlag, New York.
|
 |
7
|
|
| |
8
|
|
| |
9
|
H(~RMANN, W. AND DERFLINGER, G. 1991. The transformed rejection method for generating random variables, an alternative to the ratio of uniforms method. Manuskript, Institut f. Statistik, Wirtschaftsuniversit~t Wien, Vienna, Austria.
|
 |
10
|
|
| |
11
|
|
| |
12
|
KUIPERS, L. AND NIEDERREITER, H. 1974. Uniform Dlstrtbutton of Sequences Wiley, New York.
|
 |
13
|
|
| |
14
|
LEWIS, P. A., GOODMAN, A. S., AND MILLER, J.M. 1969. A pseudo-random number generator for the system/360. IBM Syst. J. 8, 2, 136-146.
|
| |
15
|
MARSAGLIA, G. 1972. The structure of linear congruential sequences In Apphcations of Number Theory to Numerical Analysts. Academic Press, New York, 249 286.
|
| |
16
|
NEAVE, R. 1973. On using the Box-Muller transformatmn with multiplicative congruential pseudo-random number generators. Appl. Stattst. 22, 1, 92 97.
|
| |
17
|
NIEDERREITER, H. 1978. Quasi-Monte Carlo methods and pseudo-random numbers. Bull. Am. Math. Soc. 84, 6, 957 1041.
|
 |
18
|
|
| |
19
|
|
| |
20
|
STADLOBER, E. 1989 Sampling from Poisson, binomial and hypergeometnc distributions: Ratio of uniforms as a simple and fast alternative. Berichte der Math.-Stat. Sektion in der Forschungsgesellschaft Joanneum, Nr. 303, Graz.
|
REVIEW
"William J. J. Rey : Reviewer"
“The ratio of uniforms method is a popular transformation
method to generate nonuniform random variates out of uniform random
numbers and can be applied to a variety of distributions; [further,] it
is exact.” The uniform variates t
more...
|