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Modeling and simulating Poisson processes having trends or nontrigonometric cyclic effects

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  • Kuhl, Michael E.
  • Wilson, James R.

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  • Kuhl, Michael E. & Wilson, James R., 2001. "Modeling and simulating Poisson processes having trends or nontrigonometric cyclic effects," European Journal of Operational Research, Elsevier, vol. 133(3), pages 566-582, September.
    • Handle: RePEc:eee:ejores:v:133:y:2001:i:3:p:566-582
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    Cited by:

    1. Mark Bebbington & Ričardas Zitikis, 2004. "A Robust Heuristic Estimator for the Period of a Poisson Intensity Function," Methodology and Computing in Applied Probability, Springer, vol. 6(4), pages 441-462, December.
    2. Farid Alizadeh & Jonathan Eckstein & Nilay Noyan & Gábor Rudolf, 2008. "Arrival Rate Approximation by Nonnegative Cubic Splines," Operations Research, INFORMS, vol. 56(1), pages 140-156, February.
    3. Huifen Chen & Bruce Schmeiser, 2013. "I-SMOOTH: Iteratively Smoothing Mean-Constrained and Nonnegative Piecewise-Constant Functions," INFORMS Journal on Computing, INFORMS, vol. 25(3), pages 432-445, August.
    4. Michael E. Kuhl & Sachin G. Sumant & James R. Wilson, 2006. "An Automated Multiresolution Procedure for Modeling Complex Arrival Processes," INFORMS Journal on Computing, INFORMS, vol. 18(1), pages 3-18, February.
    5. Hainan Guo & David Goldsman & Kwok-Leung Tsui & Yu Zhou & Shui-Yee Wong, 2016. "Using simulation and optimisation to characterise durations of emergency department service times with incomplete data," International Journal of Production Research, Taylor & Francis Journals, vol. 54(21), pages 6494-6511, November.

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