The validity of assumptions underlying current uses of Lanchester attrition rates
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Abstract
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DOI: 10.1002/1520-6750(198708)34:43.0.CO;2-V
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References listed on IDEAS
- Franklin C. Brooks, 1965. "The Stochastic Properties of Large Battle Models," Operations Research, INFORMS, vol. 13(1), pages 1-17, February.
- Richard H. Brown, 1963. "Theory of Combat: The Probability of Winning," Operations Research, INFORMS, vol. 11(3), pages 418-425, June.
- R. K. Watson, 1976. "Technical Note—An Application of Martingale Methods to Conflict Models," Operations Research, INFORMS, vol. 24(2), pages 380-382, April.
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Cited by:
- 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.
- David L. Bitters, 1995. "Efficient concentration of forces, or how to fight outnumbered and win," Naval Research Logistics (NRL), John Wiley & Sons, vol. 42(3), pages 397-418, April.
- John Richard Scales, 1995. "A modified lanchester linear process calibrated to historical data," Naval Research Logistics (NRL), John Wiley & Sons, vol. 42(3), pages 491-501, April.
- 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.
- Ian R. Johnson & Niall J. MacKay, 2011. "Lanchester models and the battle of Britain," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(3), pages 210-222, April.
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