Small sample Bayesian analyses in assessment of weapon performance

作     者：Li Qingmin Wang Hongwei Liu Jun 

作者机构：Dept. of Control Science and Engineering Huazhong Univ. of Science and Technology Wuhan 430074 P. R. China Dept. of Weaponry Engineering Naval Univ. of Engineering Wuhan 430033 P. R. China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2007年第18卷第3期

页      面：545-550页

核心收录：

学科分类：02[经济学] 0202[经济学-应用经济学] 020208[经济学-统计学] 07[理学] 0714[理学-统计学（可授理学、经济学学位）] 070103[理学-概率论与数理统计] 0701[理学-数学] 

主　　题：Bayesian approach small sample confidence. 

摘      要：Abundant test data are required in assessment of weapon performance. When weapon test data are insufficient, Bayesian analyses in small sample circumstance should be considered and the test data should be provided by simulations. The several Bayesian approaches are discussed and some limitations are founded. An improvement is put forward after limitations of Bayesian approaches available are analyzed and the improved approach is applied to assessment of some new weapon performance.