Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Random Number Generation: Algorithms and References, Study notes of Mathematical Statistics

Information on the algorithms used for generating normal deviates and uniform numbers as random numbers in a system. The document cites the works of kinderman and ramage (1976) and lewis, goodman, and miller (1969) as the sources for these algorithms.

Typology: Study notes

2011/2012

Uploaded on 10/31/2012

sangawar
sangawar 🇮🇳

4.5

(4)

122 documents

1 / 1

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
1
Appendix 7: Generation of
Random Numbers
Normal deviates are generated using an algorithm of Kinderman and Ramage
(1976). Uniform numbers are generated using the algorithm of Lewis, Goodman,
and Miller (1969). There is a single stream of random numbers used for the entire
system.
References
Kinderman, A. J., and Ramage, J. G. 1976. Computer generation of normal random
variables. Journal of the American Statistical Association, 71: 893–896.
(Correction: 85: 212).
Lewis, P. A. W., Goodman, O. S., and Miller, J. W. 1969. A pseudo-random
number generator for the System 360. IBM Systems Journal, 8(2): 136–145.

Partial preview of the text

Download Random Number Generation: Algorithms and References and more Study notes Mathematical Statistics in PDF only on Docsity!

1

Appendix 7: Generation of

Random Numbers

Normal deviates are generated using an algorithm of Kinderman and Ramage (1976). Uniform numbers are generated using the algorithm of Lewis, Goodman, and Miller (1969). There is a single stream of random numbers used for the entire system.

References

Kinderman, A. J., and Ramage, J. G. 1976. Computer generation of normal random variables. Journal of the American Statistical Association , 71: 893 –896. (Correction: 85: 212).

Lewis, P. A. W., Goodman, O. S., and Miller, J. W. 1969. A pseudo-random number generator for the System 360. IBM Systems Journal , 8 (2): 136–145.