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Estimating and simulating Poisson processes with trends or asymmetric cyclic effects
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Source Winter Simulation Conference archive
Proceedings of the 29th conference on Winter simulation table of contents
Atlanta, Georgia, United States
Pages: 287 - 295  
Year of Publication: 1997
ISBN:0-7803-4278-X
Authors
Michael E. Kuhl  Department of Industrial and Manufacturing Systems Engineering, Louisiana State University, Baton Rouge, LA
Halim Damerdji  Department of Industrial Engineering, North Carolina State University, Raleigh, NC
James R. Wilson  Department of Industrial Engineering, North Carolina State University, Raleigh, NC
Sponsors
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
INFORMS/CS : Computer Science TC
SIGSIM: ACM Special Interest Group on Simulation and Modeling
SCS : Society for Computer Simulation
ASA : American Statistical Association
IEEE : Institute of Electrical and Electronics Engineers
Publisher
IEEE Computer Society  Washington, DC, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 4,   Citation Count: 8
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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
Cinlar, E. 1975. Introduction to Stochastic Processes. Englewood Cliffs, NJ: Prentice-Hall.
 
2
Kuhl, M. E., J. R. Wilson, and M. A. Johnson. 1997. Estimating and simulating Poisson processes having trends or multiple periodicities. IIE Transactions 29 (3): 201-211.
 
3
 
4
Wagner, M. A. F., and J. R. Wilson. 1996. Using univariate BCzier distributions to model simulation input processes. IIE Transactions 28 (9): 699-712.

CITED BY  8

Collaborative Colleagues:
Michael E. Kuhl: colleagues
Halim Damerdji: colleagues
James R. Wilson: colleagues