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| Liu Huigang1,Hu Chunyan2, Hu Liangping2,3*(1. School of Basic Medical Sciences, Capital Medical University, Beijing 100069,China; |
DOI： |
| English keywords:判别分析——二次型判别分析法 |
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| English abstract: |
| 【】The purpose of this article was to introduce the basic concepts, computational methods, two examples, and their implementation in SAS for quadratic discriminant analysis. The basic concepts included "quadratic discriminant function," "covariance matrix," "Bayesian discriminant criterion," "Fisher’s discriminant criterion," and "distance discriminant criterion. " The computational methods involved "problem background" "form of the discriminant function" "discriminant rules" and "specific steps of calculation" The data in the two examples were "measurement results of five types of crops on four quantitative indicators" and "measurement results of four types of wheat on eight quantitative indicators." Using SAS software, a quadratic discriminant analysis was performed on the data from both examples, and then the overall misclassification rates for resubstitution discrimination and cross-validation based on the jackknife method were provided respectively. |
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