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| 合理进行多元分析——定性资料的判别分析 |
| Reasonably carry out multivariate analysis：qualitative data discrimination analysis |
| 投稿时间：2023-09-14 修订日期：2023-09-14 |
| DOI：10.11886/scjsws20230914005 |
| 中文关键词: 定性资料 判别分析 最大似然法 先验概率 贝叶斯公式 |
| 英文关键词:Qualitative data Discriminant analysis Maximum likelihood method Prior probability Bayes formula |
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| 中文摘要: |
| 本文目的是介绍与定性资料判别分析有关的基本概念、计算方法、两个实例及SAS实现。基本概念包括定性变量与分类变量、判别分析、最大似然法、先验概率和先验分布、后验概率和后验分布；计算方法涉及最大似然判别法和Bayes公式判别法；两个实例中的资料分别是“各类阑尾炎在各细目上出现的频率”和“一个患者的症状和体征资料”；借助SAS软件，对两个实例中的数据分别进行了判别分析，对SAS输出结果做出了解释。 |
| 英文摘要: |
| The purpose of the paper was to introduce the basic concepts, calculation methods, two examples and SAS implementation related to the qualitative data discrimination analysis. Basic concepts included qualitative and categorical variables, discriminant analysis, maximum likelihood method, prior probability and prior distribution, posterior probability and posterior distribution; the calculation methods involved the maximum likelihood discriminant method and Bayes formula discriminant approach; the data in the two examples were "the frequency of various types of appendicitis in each detail" and "the symptoms and signs of a patient"; with the help of SAS software, the discriminant analysis was carried out on the data in the two examples, and an explanation was made for the output results of SAS. |
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