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Forecasting for some stochastic process models related to sow farm management

Author

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  • Juan Miguel Marin
  • Lluis Pla
  • David Rios-Insua

Abstract

Sow farm management requires appropriate methods to forecast the sow population structure evolution. We describe two models for such purpose. The first is a semi-Markov process model, used for long-term predictions and strategic management. The second is a state-space model for continuous proportions, used for short-term predictions and operational management.

Suggested Citation

  • Juan Miguel Marin & Lluis Pla & David Rios-Insua, 2005. "Forecasting for some stochastic process models related to sow farm management," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(8), pages 797-812.
    • Handle: RePEc:taf:japsta:v:32:y:2005:i:8:p:797-812
    DOI: 10.1080/02664760500079845
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    References listed on IDEAS

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    1. Allen, M. A. & Stewart, T. S., 1983. "A simulation model for a swine breeding unit producing feeder pigs," Agricultural Systems, Elsevier, vol. 10(4), pages 193-211, April.
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    Cited by:

    1. Insua, David Rios & Ruggeri, Fabrizio & Soyer, Refik & Wilson, Simon, 2020. "Advances in Bayesian decision making in reliability," European Journal of Operational Research, Elsevier, vol. 282(1), pages 1-18.

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