| 查看: 570 | 回复: 2 | |||
| 本帖产生 1 个 翻译EPI ，点击这里进行查看 | |||
| 当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖 | |||
[求助]
2句中译英，谢谢
|
|||
| 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。 |
回复此楼» 猜你喜欢
085801电气专硕272求调剂
已经有22人回复
-
求计算机方向调剂
已经有6人回复
-
湖南大学刘巧玲课题组2026年第二批次博士研究生招生信息
已经有3人回复
-
通信工程求调剂！！！
已经有7人回复
-
26药学专硕105500求调剂
已经有8人回复
-
297，工科调剂?
已经有11人回复
-
申博自荐
已经有4人回复
-
294求调剂
已经有9人回复
-
289 分105500药学专硕求调剂(找B区学校)
已经有5人回复
-
291求调剂
已经有11人回复
nwsuafliu
木虫 (著名写手)
- 翻译EPI: 144
- 应助: 42 (小学生)
- 金币: 2406.9
- 散金: 1449
- 红花: 18
- 帖子: 1437
- 在线: 315.6小时
- 虫号: 136928
- 注册: 2005-12-17
- 专业: 作物分子育种
【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★
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
【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★
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
|
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
