Regression models are widely used in forecasting, either directly as prediction equations, or indirectly as the basis of other procedures. The predictive performance of a regression model can be adversely affected by both multicollinearity and high-leverage data points. Although biased estimation pr
β¦ LIBER β¦
On the predictive performance of biased regression methods and multiple linear regression
β Scribed by Kenneth G. Kowalski
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 773 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0169-7439
No coin nor oath required. For personal study only.
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## Abstract In this study, quantitative structureβretention relationship (QSRR) was used for the prediction of KovΓ‘ts retention indices of 180 alkylphenols and their derivatives using the multiple linear regression (MLR) and support vector machine (SVM). After the calculation of some molecular desc