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2005
DOI: 10.1002/nav.20105
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Approximations and empirics for stochastic war equations

Abstract: Abstract:The article develops a theorem which shows that the Lanchester linear war equations are not in general equal to the Kolmogorov linear war equations. The latter are time-consuming to solve, and speed is important when a large number of simulations must be run to examine a large parameter space. Run times are provided, where time is a scarce factor in warfare. Four time efficient approximations are presented in the form of ordinary differential equations for the expected sizes and variances of each grou… Show more

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Cited by 8 publications
(2 citation statements)
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“…The model could also be adapted for other contexts, such as Connors' ( 2012) study of the 1853 Battle of Balaclava or Edmiston's (2011) study of a hypothetical near-future battle. Given the ample empirical data that is available for the 1944 Ardennes campaign, there might be potential for study there as well (see, e.g., Hausken and Moxnes, 2005).…”
Section: Discussionmentioning
confidence: 99%
“…The model could also be adapted for other contexts, such as Connors' ( 2012) study of the 1853 Battle of Balaclava or Edmiston's (2011) study of a hypothetical near-future battle. Given the ample empirical data that is available for the 1944 Ardennes campaign, there might be potential for study there as well (see, e.g., Hausken and Moxnes, 2005).…”
Section: Discussionmentioning
confidence: 99%
“…In ancient linear war, squaring would not hold, so numerical superiority would be less decisive. Even for warfare as modern as the so-called Ardennes Campaign toward the end of World War II, Hausken and Moxnes (2005) find empirical support for linear rather than square war, which suggests low decisiveness. The deterministic Lanchester equations are limited such that the stronger side ultimately wipes out the weaker.…”
Section: Equilibrium Strategies Do Indeed Depend On Incentivesmentioning
confidence: 90%