Pages that link to "Item:Q900526"
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The following pages link to First-order \(r\)-\(d\) class estimator in binary logistic regression model (Q900526):
Displaying 12 items.
- Using principal components for estimating logistic regression with high-dimensional multicollinear data (Q116683) (← links)
- On linearized ridge logistic estimator in the presence of multicollinearity (Q782644) (← links)
- Some worst-case datasets of deterministic first-order methods for solving binary logistic regression (Q2028922) (← links)
- Liu-type multinomial logistic estimator (Q2049558) (← links)
- Iterative algorithms of biased estimation methods in binary logistic regression (Q2374431) (← links)
- A first-order approximated jackknifed ridge estimator in binary logistic regression (Q2418067) (← links)
- Two-parameter ridge estimator in the binary logistic regression (Q4607365) (← links)
- Optimal generalized logistic estimator (Q4638718) (← links)
- Liu-Type Logistic Estimator (Q4929227) (← links)
- The red indicator and corrected VIFs in generalized linear models (Q5086383) (← links)
- The <i>r</i> – <i>d</i> class estimator in generalized linear models: applications on gamma, Poisson and binomial distributed responses (Q5107343) (← links)
- On a new class of binomial ridge-type regression estimators (Q5866158) (← links)