Logistic回归模型在判别分析中的应用

Application of Logistic Model to Discriminant Analysis

介绍Logistic回归模型用于判别的方法,利用给出的某期间华北地区和长江中下游降水年变化为判别对象,以这种判别方法确定界于两个地区中间地带的一些观测站属于何种年变化型,并且与传统用的最大概率法做了比较,发现Logistic的效果要比最大概率法好。

This article introduces the application of Logistic Model to the discrimination. Take the rainfall of the midstream and downstream of Yangtze River as the object of the discrimination. It makes a discrimination that which observation stations belong to North of China＇ s type and which belong to the midstream and downstream of Yangtze River＇ s type by dealing with the rain of those areas and makes a compare with common discriminant analysis. The result proves logistic discriminant analysis is better than common discriminant analysis.