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Modeling and Real-Time Prediction of Classical Swine Fever Epidemics

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  • Ronald Meester
  • Jan Koning
  • Mart C. M. Jong
  • Odo Diekmann

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  • Ronald Meester & Jan Koning & Mart C. M. Jong & Odo Diekmann, 2002. "Modeling and Real-Time Prediction of Classical Swine Fever Epidemics," Biometrics, The International Biometric Society, vol. 58(1), pages 178-184, March.
    • Handle: RePEc:bla:biomet:v:58:y:2002:i:1:p:178-184
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2002.00178.x
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    Cited by:

    1. I. Rahimov, 2019. "Estimation of the mean in partially observed branching processes with general immigration," Statistical Inference for Stochastic Processes, Springer, vol. 22(1), pages 143-155, April.
    2. Artalejo, J.R. & Lopez-Herrero, M.J., 2011. "The SIS and SIR stochastic epidemic models: A maximum entropy approach," Theoretical Population Biology, Elsevier, vol. 80(4), pages 256-264.
    3. Lan Ge & Anders Kristensen & Monique Mourits & Ruud Huirne, 2014. "A new decision support framework for managing foot-and-mouth disease epidemics," Annals of Operations Research, Springer, vol. 219(1), pages 49-62, August.
    4. Rahimov, I., 2017. "Asymptotic inference for non-supercritical partially observed branching processes," Statistics & Probability Letters, Elsevier, vol. 126(C), pages 26-32.

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