| 正交递归选择法及其应用 |
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| 引用本文： | 朱尔一 邓志威. 正交递归选择法及其应用[J]. 高等学校化学学报, 1993, 14(11): 1518-1521 |
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| 作者姓名： | 朱尔一 邓志威 |
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| 作者单位： | 厦门大学化学系，厦门大学化学系，厦门大学化学系，厦门大学化学系 厦门 361005，厦门 361005，厦门 361005，厦门 361005 |
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| 摘 要： | 本文提出一种新的变量筛选法－正交递归选择法，该法可以得到预报能力较强的模型，即ＰＲＥＳＳ（预报残差平方和）值较低的模型。用该法处理构效关系问题，并与逐步回归正向选择法及ＰＬＳ回归法进行了比较，得到满意的结果。
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| 关 键 词： | 变量筛选 正交递归选择 逐步回归 |
Orthogonal ization Recurrence Selection Method and Its Application |
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| ZHU Er-Yi,YANG Peng-Yuan,DENG Zhi-Wei,HUANG Ben-Li. Orthogonal ization Recurrence Selection Method and Its Application[J]. Chemical Research In Chinese Universities, 1993, 14(11): 1518-1521 |
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| Authors: | ZHU Er-Yi YANG Peng-Yuan DENG Zhi-Wei HUANG Ben-Li |
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| Abstract: | A new model selection method named orthogonalization recurrence selection (ORS) method is proposed. By use of this method the model with higher predictive ability can be ob-tainded or the lower PRESS statistic values of the model can be achieved. The comparison is made among forward selection method in the stepwise regression and PLS as well as ORS methods through the example of QSAR(quantitative structure activity relationship). |
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| Keywords: | Model selection PRESS criterion Stepwise regression PLS regression Gram-Schmidt ortllogonalization |
| 本文献已被 CNKI 维普 等数据库收录！ |
