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| 表5为根据典型相关系数建立典型相关线性组合时，两组变量中各变量的权重。典型结构分析是对原始变量和典型变量相关关系的进一步分析，其相关系数反映了原变量对典型变量提供的信息量大小，相关系数越大，则原变量提供的信息量越大。 |
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爱与雨下: 金币+1 2013-01-09 21:04:55
qwky2010: 金币+10, 翻译EPI+1, ★★★很有帮助, 3q 2013-01-10 11:28:27
爱与雨下: 金币+1 2013-01-09 21:04:55
qwky2010: 金币+10, 翻译EPI+1, ★★★很有帮助, 3q 2013-01-10 11:28:27
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According to typical correlation coefficient to establish typical correlation linear combination，table 5 is the weight of every variable in two group variables. Typical structure analysis is the further analysis of correlativity to original variable and typical variable. The correlation coefficient reflect the ammounts of information that is supported by original variable to typical variable. The bigger correlation coefficient is，the more information ammounts the original variable supports. |
2楼2013-01-09 20:56:51
nwsuafliu
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qwky2010: 金币+10, ★★★很有帮助, 3q 2013-01-10 11:28:34
qwky2010: 金币+10, ★★★很有帮助, 3q 2013-01-10 11:28:34
| Table 5 shows the weight of each variable in the two groups of variables during the creation of canonical correlation linear combinations based on canonical correlation analysis. Canonical structure analysis is the further analysis on the correlation between original variables and canonical variables. The resulted correlation coefficient reflects the information content towards canonical variables provided by original variables. The greater the coefficient is, the higher information content provided by the original variables will be. |
3楼2013-01-09 21:25:27
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