贝叶斯判别法及其应用研究

Research on Bayesian Discrimination and its Application

判别分析是最为重要的多元统计分析,本文选取其中的贝叶斯判别法进行研究,从贝叶斯分析的基本思想出发,给出最大后验概率法和最小期望误判概率法的的判别规则,并在此基础上引入例题分析,为了更为便捷地学习贝叶斯判别法,本文还选取了数据分析方法,借助于SPSS 25,以某位地区人口死亡情况分类预测为例给出了分析过程和结果解释。

Discriminant analysis is the most important multivariate statistical analysis. In this paper, the Bayesian discriminant method is selected for research. Starting from the basic idea of Bayesian analysis, the discriminant rules of the maximum posterior probability method and the minimum expected error probability method are given. On this basis, the example analysis is introduced. In order to learn the Bayesian discriminant method more conveniently, the data analysis method is also selected with the help of SPSS 25, the process of analysis and the explanation of the result are given.