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General solution to many‐on‐many heterogeneous stochastic combat

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  • Shahrooz Parkhideh
  • A. V. Gafarian

Abstract

Stochastic combat models are more realistic than either deterministic or exponential models. Stochastic combat models have been solved analytically only for small combat sizes. It is very difficult, if not impossible, to extend previous solution techniques to larger‐scale combat. This research provides the solution for many‐on‐many heterogeneous stochastic combat with any break points. Furthermore, every stage in stochastic combat is clearly defined and associated aiming and killing probabilities are calculated. © 1996 John Wiley & Sons, Inc.

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  • Shahrooz Parkhideh & A. V. Gafarian, 1996. "General solution to many‐on‐many heterogeneous stochastic combat," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(7), pages 937-953, October.
    • Handle: RePEc:wly:navres:v:43:y:1996:i:7:p:937-953
    DOI: 10.1002/(SICI)1520-6750(199610)43:73.0.CO;2-E
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    References listed on IDEAS

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    1. J. Yang & A. V. Gafarian, 1995. "A fast approximation of homogeneous stochastic combat," Naval Research Logistics (NRL), John Wiley & Sons, vol. 42(3), pages 503-533, April.
    2. C. J. Ancker & A. V. Gafarian, 1987. "The validity of assumptions underlying current uses of Lanchester attrition rates," Naval Research Logistics (NRL), John Wiley & Sons, vol. 34(4), pages 505-533, August.
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    Cited by:

    1. Hausken, Kjell & Moxnes, John F., 2002. "Stochastic conditional and unconditional warfare," European Journal of Operational Research, Elsevier, vol. 140(1), pages 61-87, July.

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