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http://dx.doi.org/10.5351/KJAS.2019.32.1.129

A study on estimating rifle ammunition RSR based on truncated Weibull model  

Park, Jaeshin (Department of Mathematics, Korea Military Academy)
Bang, Sungwan (Department of Mathematics, Korea Military Academy)
Publication Information
The Korean Journal of Applied Statistics / v.32, no.1, 2019 , pp. 129-138 More about this Journal
Abstract
Ammunition is an integral element of a weapon systems and in calculating fighting strength. The Korea Army utilizes the basic load (B/L) concept to supply ammunition smoothly. The required supply rate (RSR) is the basis of a B/L that is estimated from real combat data that includes a troop's mission and operation terrain. The current RSR is based on Korean War data and the sample mean has some problems in applications to modern combat. Therefore, this study used Korea Combat Training Center (KCTC) data that is similar to real combat to estimate rifle ammunition RSR. We used a quantile of truncated Weibull distribution to estimate rifle ammunition RSR considering that rifle ammunition consumption data in KCTC is truncated. As a result, we obtained a rifle ammunition RSR which covers most ammunition consumption by reflecting the individual consumption of rifle ammunition.
Keywords
truncated Weibull distribution; required supply rate; basic load; maximum likelihood estimator;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
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