摘要
基于现实研究中遇到的信息不完备、数据有残缺的情况,利用信息扩散原理进行二维小样本信息的处理、分析并应用于实际项目.采用均匀信息扩散优化处理方法和非均匀信息扩散方法对二维小样本进行探索,结果与大样本处理的结论是一致的;同时对样本点数影响信息扩散结果进行了理论推导.研究表明,小样本数量不会大幅度影响预测结果.
In the process of research,the information is often scarce,and collectable data are uncompleted.This paper refers to the processing,analysis and project application of two-dimensional small-sample information by using information diffusion method.Specifically,this paper researches two-dimensional smallsample information by using optimized information diffusion method and uneven information diffusion method.The results are coincidence with the large sample.Meanwhile,this paper deduces the influence of the number of sample points on the forecasting results.We may safely draw the conclusion that the number of small-sample points does not significantly affect the forecasting results.
出处
《应用数学与计算数学学报》
2016年第2期290-296,共7页
Communication on Applied Mathematics and Computation
基金
上海高校青年教师培养资助计划(ZZJG12010)
关键词
二维小样本
均匀信息扩散优化处理
非均匀信息扩散
方差
期望
two-dimensional small-sample
uniform optimized information diffusion
uneven information diffusion
variance
expectation
