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Algorithm 599: sampling from Gamma and Poisson distributions
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Volume 9 ,  Issue 2  (June 1983) table of contents
Pages: 255 - 257  
Year of Publication: 1983
ISSN:0098-3500
Authors
J. H. Ahrens  Math Seminar der University Kiel, Olshausenstrasse 40-60, D 2300 Kiel 1, Germany
K. D. Kohrt  Math Seminar der University Kiel, Olshausenstrasse 40-60, D 2300 Kiel 1, Germany
U. Dieter  Institut fur Statistik, Technical University Graz, Hamerlinggasse 6, A 8010 Graz, Austria
Publisher
ACM  New York, NY, USA
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APPENDICES and SUPPLEMENTS
exponential, gamma, normal, Poisson, and uniform distributions
Gams: L6a7,L6a16,L6a21,L6a5,L6a14


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.

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AHRENS, J.H., AND DIETER, U. Extensions of Forsythe's method for random sampling from the normal dlstmbutlon Math Comput 27 (Oct. 1973), 927-937
 
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AHRENS, J.H., ASD DIETER, U Computer methods for sampling from gamma, beta, Poisson and binomial distributions Computing 12 (1974), 223-246.
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AHRENS, J.H., DIETER, U., AND GRUBE A. Pseudo-random numbers: A new proposal for the choice of multlplicators. Computing 6 (1971), 121-138


Collaborative Colleagues:
J. H. Ahrens: colleagues
K. D. Kohrt: colleagues
U. Dieter: colleagues