摘要
定性指标是武器装备作战试验中的重要考核内容,其中的定序指标是最为常见的一种定性指标。考虑到以比对试验的形式组织的作战试验,对于武器装备更新换代具有更好的决策支持作用,提出了一种考核框架及其样本量估算方法:剖析了当前作战试验定性指标考核的一些可改进方面,讨论了基于ridit分析的应用可行性与考核框架,并针对ridit分析的与分布无关特性探讨了基于蒙特卡洛仿真的样本量估算方法,通过算例演示了该框架即样本量估算方法的有效性。
Qualitative indexes are very widespread in operational tests of weapon and equipment,among which the ordinal index is the most common one.Considering that the operational test organized in the form of a comparison test has a better decision support function for the upgrade and replacement of weapons and equipment,a testing framework and its corresponding estimation method for sample size are studied and proposed. Firstly,some improved aspects of the present qualitative testing indexes of operational tests are analyzed. Secondly,the application feasibility and testing framework based on ridit analysis are discussed,and the sample size estimation method based on Monte Carlo simulation is explored due to ridit analysis’ s distribution-independent characteristics.Finally,an example is given to demonstrate the effectiveness of this framework.
作者
薄云
廖学军
白宇
BO Yun;LIAO Xue-jun;BAI Yu(Graduate School,Space Engineering University,Beijing 101416,China;Baicheng Ordnance Test Center,Baicheng 137001,China;Department of Space Equipment Support,Space Engineering University,Beijing 102206,China;Joint Service College,National Defense University,Beijing 100039,China)
出处
《火力与指挥控制》
CSCD
北大核心
2022年第1期175-180,共6页
Fire Control & Command Control
基金
军队科研计划基金资助项目(2015SY41A0001,1800050056)。
关键词
试验与鉴定
作战试验
数据处理
样本量估算
定性数据
定序数据
test and authentication
operational test
data processing
sample size estimation
qualitative data
ordinal data