Pages that link to "Item:Q1926093"
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The following pages link to Combining two-parameter and principal component regression estimators (Q1926093):
Displaying 20 items.
- Application of a combination production function model (Q273233) (← links)
- The principal correlation components estimator and its optimality (Q345375) (← links)
- Principal component selection via adaptive regularization method and generalized information criterion (Q513693) (← links)
- A stochastic restricted principal components regression estimator in the linear model (Q904599) (← links)
- A note about the corrected VIF (Q1685228) (← links)
- A note on the performance of biased estimators with autocorrelated errors (Q1751508) (← links)
- Sparse principal component regression via singular value decomposition approach (Q2051586) (← links)
- Combining the Liu-type estimator and the principal component regression estimator (Q2254740) (← links)
- On a principal component two-parameter estimator in linear model with autocorrelated errors (Q2254748) (← links)
- Further research on the principal component two-parameter estimator in linear model (Q2807705) (← links)
- A Class of <i>s</i>–<i>K</i> Type Principal Components Estimators in the Linear Model (Q2821036) (← links)
- More on the two-parameter estimation in the restricted regression (Q2834720) (← links)
- On the restricted almost unbiased two-parameter estimator in linear regression model (Q2979948) (← links)
- Defining a two-parameter estimator: a mathematical programming evidence (Q3389590) (← links)
- Combining Unbiased Ridge and Principal Component Regression Estimators (Q3396330) (← links)
- COMBINING THE LIU ESTIMATOR AND THE PRINCIPAL COMPONENT REGRESSION ESTIMATOR (Q4540577) (← links)
- Performance of the principal component two-parameter estimator in misspecified linear regression model (Q5084979) (← links)
- Principal component ridge type estimator for the inverse Gaussian regression model (Q5086088) (← links)
- On the Principal Component Liu-type Estimator in Linear Regression (Q5265823) (← links)
- A Geometrical Interpretation of Collinearity: A Natural Way to Justify Ridge Regression and Its Anomalies (Q6085866) (← links)
