Combining principal component and robust ridge estimators in linear regression model with multicollinearity and outlier.
Kingsley Chinedu ArumFidelis Ifeanyi UgwuowoPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- principal components
- linear regression model
- regression analysis
- regression model
- principal component analysis
- multivariate data
- explanatory variables
- linear regression
- dimensionality reduction
- outlier detection
- statistical analysis
- correlation coefficient
- hyperplane
- pattern recognition
- video sequences
- decision trees
- kernel space
- data mining