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A Stochastic Salvo Model for Naval Surface Combat
by
Armstrong, Michael J
in
Analysis
/ Applied sciences
/ Armed Forces
/ Determinism
/ Exact sciences and technology
/ Fire damage
/ Gaussian distributions
/ Mathematical analysis
/ Military engagements
/ Military strategy
/ Missiles
/ Modeling
/ Operational research. Management science
/ Operations research
/ Random variables
/ Randomness
/ Standard deviation
/ Stochastic analysis
/ Stochastic models
/ Studies
/ tactics/strategy: naval surface tactics
/ Warfare
/ warfare models: stochastic salvo combat
/ Warships
2005
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A Stochastic Salvo Model for Naval Surface Combat
by
Armstrong, Michael J
in
Analysis
/ Applied sciences
/ Armed Forces
/ Determinism
/ Exact sciences and technology
/ Fire damage
/ Gaussian distributions
/ Mathematical analysis
/ Military engagements
/ Military strategy
/ Missiles
/ Modeling
/ Operational research. Management science
/ Operations research
/ Random variables
/ Randomness
/ Standard deviation
/ Stochastic analysis
/ Stochastic models
/ Studies
/ tactics/strategy: naval surface tactics
/ Warfare
/ warfare models: stochastic salvo combat
/ Warships
2005
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Do you wish to request the book?
A Stochastic Salvo Model for Naval Surface Combat
by
Armstrong, Michael J
in
Analysis
/ Applied sciences
/ Armed Forces
/ Determinism
/ Exact sciences and technology
/ Fire damage
/ Gaussian distributions
/ Mathematical analysis
/ Military engagements
/ Military strategy
/ Missiles
/ Modeling
/ Operational research. Management science
/ Operations research
/ Random variables
/ Randomness
/ Standard deviation
/ Stochastic analysis
/ Stochastic models
/ Studies
/ tactics/strategy: naval surface tactics
/ Warfare
/ warfare models: stochastic salvo combat
/ Warships
2005
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Journal Article
A Stochastic Salvo Model for Naval Surface Combat
2005
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Overview
In this paper, we propose a stochastic version of the salvo model for modern naval surface combat. We derive expressions for the mean and variance of surviving force strengths and for the probabilities of the possible salvo outcomes in forms simple enough to be implemented in spreadsheet software. Numerical comparisons of the deterministic and stochastic models indicate that while the two models tend to provide similar estimates of the average number of ships surviving a salvo, this average by itself can be highly misleading with respect to the likely outcomes of the battle. Our results also suggest that a navys preferences for risk (variability) and armament (offensive versus defensive) will depend on not only its mission objectives but also on whether it expects to fight from a position of strength or of weakness.
Publisher
INFORMS,Institute for Operations Research and the Management Sciences
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