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Simulation of Poisson processes with trigonometric rates
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Source Winter Simulation Conference archive
Proceedings of the 24th conference on Winter simulation table of contents
Arlington, Virginia, United States
Pages: 609 - 617  
Year of Publication: 1992
ISBN:0-7803-0798-4
Authors
Sponsors
ASA : American Statistical Association
NIST : National Institue of Standards & Technology
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
ORSA : Operations Research Society of America
SIGSIM: ACM Special Interest Group on Simulation and Modeling
TIMS :
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation
Publisher
ACM  New York, NY, USA
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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
Church, L. and R. Uszoy. 1992. Personal communication.
 
2
Devroye, L. 1986. Non-uniform Random Variate Generation. New York: Springer-Verlag.
 
3
IMSL Library Reference Manual, ed. 1.1 (1989) IMSL Inc., 7500 Bellaire Boulevard, Houston TX 77036.
 
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5
Klein, R. W. and S. D. Roberts. 1984. A timevarying Poiszon arrival process generator. Simulation 42:193-195.
 
6
Lee, S., J. R. Wilson, and M. M. Crawford. 1991. Modeling and simulation of a nonhomogeneous Poisson process having cyclic behavior. Communications in Statistics -- Simulation and Computation B20:777-809.
 
7
Lewis, P. W. and G. S. Shedler. 1976. Simulation of nonhomogeneous processes with log-linear rate function. Biometrika 63:501-505.
 
8
Lewis, P. W. and G. S. Shedler. 1979a. Simulation of nonhomogeneous Poisson processes with degreetwo exponential polynomial rate function. Operations Research 26:1026-1040.
 
9
Lewis, P. W. and G. S. Shedler. 1979b. Simulation of nonhomogeneous Poisson processes by thinning. Naval Research Logistics Quarterly 26:403-,113.
 
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12
Rudin, W. 1976. Principles of Mathematical Analysis. New York: McGraw-Hill Book Company.
 
13
Schmeiser, B. 1990. Simulation experiments. Chapter 7 in Handbooks in Operations Research and Management Science, Volume 2: Stochastic Models. ed. D. P. Heyman and M. J. Sobel, 2c~5-330. Amsterdam: North-Holland.
14
 
15
Taaffe, M. R. and B. W. Schmeiser (1992). Correlated decomposition for analyzing dynamic stochastic systems. In Proceedings of the Firs~ Induslrial Engineering Research Conference, ed. G. Klutke, D. A. Mitta, B. O. Nnaji, and L. M. Seiford, 457- 462. Institute of Industrial Engineers, Chicago, Illinois.
 
16
Wendroff, B. 1969. First Principles of Numerical Analysis. New York: Addison Wesley.


Collaborative Colleagues:
Huifen Chen: colleagues
Bruce W. Schmeiser: colleagues