Published July 1979
| Version v1
Journal article
Extensions of von Neumann's method for generating random variables
Description
Von Neumann's method of generating random variables with the exponential distribution and Forsythe's method for obtaining distributions with densities of the form e/sup -G//sup( x/) are generalized to apply to certain power series representations. The flexibility of the power series methods is illustrated by algorithms for the Cauchy and geometric distributions
Additional details
Publishing Information
- Journal Title
- Math. Comput.
- Journal Volume
- 33
- Journal Issue
- 147
- Series
- Math. Comput.
- Journal Page Range
- 1065-1069
- ISSN
- 0025-5718
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 11500534
- Subject category
- S99: GENERAL AND MISCELLANEOUS;
- Descriptors DEI
- ALGORITHMS; POWER SERIES; RANDOMNESS
- Descriptors DEC
- SERIES EXPANSION