Projects per year
Abstract
Samples from Poisson distributions of mean μ 10 are generated by truncating suitable normal deviates and applymg a correction with low probability, For μ < 10, mversion is substituted. The method is accurate and it can cope with changing parameters μ. Using efficient subprograms for generating uniform, exponential, and normal deviates, the new algorithm is much faster than all competing methods.
Original language | English |
---|---|
Pages (from-to) | 163-179 |
Journal | ACM Transactions on Mathematical Software |
Volume | 8 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1982 |
Treatment code (Nähere Zuordnung)
- Application
Fingerprint
Dive into the research topics of 'Computer generation of Poisson deviates from modified normal distributions'. Together they form a unique fingerprint.Projects
- 1 Finished