New approaches in estimating linear regression model parameters in the presence of multicollinearity and outliers
In multiple linear regression models, the ordinary least squares (OLS) method has been the most popular technique for estimating parameters of model due to its optimal properties and ease of calculation. OLS estimator may fail when the assumption of independence is violated. This assumption can be v...
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| Format: | Thèse |
| Langue: | anglais |
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2017
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| Accès en ligne: | http://eprints.utm.my/78208/1/MohammadSabryAboMFS2017.pdf |