一类小样本的统计方法建模及其可视化

A Small-Sample Modeling and Visualization on Statistical Methods

针对一类高维小样本数据,利用统计方法的非参数检验与偏最小二乘回归(PLS)构造小样本预测模型,实现基于Wilcoxon秩和检验的变量选择与基于PLS的变量压缩降维.并通过DNA序列分类问题实现基于统计方法的小样本数据建模与可视化,计算结果表明方法对小样本具有可行性、有效性.

With a class of high-dimensional ＆ sample are constructed using Hypothesis Test statistical methods,which carried out variables small-sample data, Prediction models of small- and Partial Least-Squares Regression（PLS） of selection on wilcoxon rank-sum test and variables compression ＆ dimension reduction on PLS. And small-sample modeling and visualization on statistical methods are achieved by the instance of DNA sequence classification, the results show that the modeling methods of small-samples have feasibility and stability.