2016
DOI: 10.1016/j.ast.2016.08.032
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Weapon systems accuracy evaluation using the error spectrum

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Cited by 8 publications
(4 citation statements)
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“…For instance, Yang proposed an improved bootstrap method based on gray theory, 27 James introduced several new variants of the wild cluster bootstrap, 28 Shao improved bootstrap by using the virtual augmented sample method to analyze reliability, 29 and Chang proposed a parametric bootstrap approach to improve the Durbin‐Watson test, which is inaccurate for small samples 30 . The bootstrap method has been widely applied in various fields, such as medicine, 31 biology, 32 mechanical engineering, 33 aerospace, 34 and so forth. Moreover, the bootstrap method is also commonly used to study fatigue life and reliability of sample parts.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, Yang proposed an improved bootstrap method based on gray theory, 27 James introduced several new variants of the wild cluster bootstrap, 28 Shao improved bootstrap by using the virtual augmented sample method to analyze reliability, 29 and Chang proposed a parametric bootstrap approach to improve the Durbin‐Watson test, which is inaccurate for small samples 30 . The bootstrap method has been widely applied in various fields, such as medicine, 31 biology, 32 mechanical engineering, 33 aerospace, 34 and so forth. Moreover, the bootstrap method is also commonly used to study fatigue life and reliability of sample parts.…”
Section: Introductionmentioning
confidence: 99%
“…This method uses a unified damage report template with combined target specific information and compared the historical database to realize automatic damage effect evaluation. [10] proposed the error spectrum to evaluate the weapon system accuracy and [11] presented a method to assess a fragmentation weapon's effectiveness, which provides the basis for the weapon systems selection problem. [12] investigated the local damage and fragments of unreinforced masonry walls under different close-in explosions, and the blast load time histories from close-in detonations.…”
Section: Introductionmentioning
confidence: 99%
“…However, ES has several drawbacks, which attracts lots of researches to focus on the improvement of the ES. To solve the computation problem, Liu et al presented the Mellin transform to compute the ES analytically [6], then, we proposed two algorithms to calculate the ES based on the power means error and the Gaussian mixture model, respectively [7], [12], [13]. Furthermore, to solve the dynamic evaluation problem, Mao et al introduced a dynamic error spectrum (DES) to transform the ES into a single point at a time instant [8].…”
Section: Introductionmentioning
confidence: 99%