Robust techniques for linear regression with multicollinearity and outliers
The ordinary least squares (OLS) method is the most commonly used method in multiple linear regression model due to its optimal properties and ease of computation. Unfortunately, in the presence of multicollinearity and outlying observations in a data set, the OLS estimate is inefficient with inflat...
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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2016
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| 主題: | |
| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/58669/1/IPM%202016%201IR%20D.pdf |