Using principal component analysis to extract mixed variables for smoothed location model
This study is conducted to test the appropriateness of variables extraction technique called principal component analysis to keep adequate number of variables for construction of the smoothed location model when the measured variables are mixed and large, particularly the binary.The strategy of perf...
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| 主要な著者: | , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Pushpa Publishing House
2013
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| 主題: | |
| オンライン･アクセス: | http://repo.uum.edu.my/21572/1/FJMS%20%2080%201%202013%2033%2054.pdf http://repo.uum.edu.my/21572/ http://www.pphmj.com/abstract/7952.htm |
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