|
| 合理进行多元分析——定性资料对应分析和Shannon信息量分析 |
| Reasonably carry out multivariate analysis： qualitative data correspondence analysis and Shannon information quantity analysis |
| 投稿时间：2023-08-14 修订日期：2023-08-14 |
| DOI：10.11886/scjsws20230814002 |
| 中文关键词: 列联表 边缘概率 行剖面 信息量 信息熵 |
| 英文关键词:Contingency table Marginal probability Row profile Information volume Information entropy |
| 基金项目: |
|
| 摘要点击次数: |
| 全文下载次数: |
| 中文摘要: |
| 本文目的是介绍与定性资料对应分析和Shannon信息量分析有关的基本概念、计算方法、2个实例及SAS实现。基本概念包括列联表与Burt表、边缘概率、行剖面与列剖面、信息和信息量、熵；计算方法涉及定性资料对应分析和Shannon信息量分析；2个实例中的资料分别是“某医院3年间不同季节4种甲状腺疾病的检出情况”和“不同专业学生的4种气质类型分布”；借助SAS软件，对2个实例中的数据分别进行了定性资料对应分析和Shannon信息量分析，对SAS输出结果做出了合理的解释。 |
| 英文摘要: |
| The purpose of this article was to introduce the basic concepts, calculation methods, two examples and SAS implementation related to the qualitative data correspondence analysis(QDCA) and Shannon information quantity analysis(SIQA). Basic concepts included contingency table and Burt table, marginal probability, row profile and column profile, information and information volume, entropy; the calculation method involved the qualitative data correspondence analysis and Shannon information quantity analysis; the data in the two examples were "detection of 4 kinds of thyroid diseases in different seasons in a hospital in 3 years" and "distribution of 4 temperament types of students in different majors"; with the help of SAS software, QDCA and SIQA were carried out on the data in the two examples, and a reasonable explanation was made for the SAS output results. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| 关闭 |