海军航空工程学院学报2017，Vol.32Issue(1)：111-115,5.DOI:10.7682/j.issn.1673-1522.2017.01.003
小子样条件下正态先验信息的融合
Normal Prior Information Fusion Method Under the Small Sample
摘要
Abstract
For the small sample Bayes verification method, the effectiveness of prior information affects the correct statisti?cal inference. As for the fusion of multi-source normal prior information, the bootstrap method was used to convert a piece of prior information into a prior sub-distribution. Then experts'weight was determined based on their level, and the weight of the prior sub-distribution was determined by expert estimate method. At last, by calculating the discrepancy pro?portion between the integrated prior distribution and the hypothetical normal distribution, the hypothesis that the fused in?tegrated prior distribution was normal distribution was tested, and the method to accurately calculating the distribution pa?rameters was also put forward. The analysis by an example showed the fusion model was effective and accurate.关键词
先验信息/自助法/先验分布/正态分布Key words
prior information/bootstrap method/prior distribution/normal distribution分类
军事科技引用本文复制引用
邱立军,刘勇,徐学文..小子样条件下正态先验信息的融合[J].海军航空工程学院学报,2017,32(1):111-115,5.基金项目
国家自然科学基金资助项目(41476089) （41476089）
