Binary variable extraction using nonlinear principal component analysis in classical location model
Location model is a predictive classification model that determines the groups of objects which contain mixed categorical and continuous variables. The simplest location model is known as classical location model, which can be constructed easily using maximum likelihood estimation. This model perfor...
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| フォーマット: | 学位論文 |
| 言語: | English English |
| 出版事項: |
2016
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| 主題: | |
| オンライン･アクセス: | http://etd.uum.edu.my/6007/ |
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