### Found: 19 resources

#### Robust Estimators of Logistic Regression with Problems Multicollinearity or Outliers Values.

*Journal of Kufa for Mathematics and Computer, 2014, Volume 2, Issue 2, pages 64-71*

#### Recovering Jackknife Ridge Regression Estimates from OLS Results

*Journal of university of Anbar for Pure science, 2013, Volume 7, Issue 2, pages*

#### A Suggested Method of Detecting Multicollinearity in Multiple Regression Models

*TANMIAT AL-RAFIDAIN, 2012, Volume 34, Issue 106, pages 7-21*

#### Diagnosis and Treatment of the Problems Multicollinearity and Separation in the Logistic Regression Model for Patients with Anemic

*Al Kut Journal of Economics Administrative Sciences, 2020, Volume 12, Issue 35, pages 55-76*

#### Addressing the problem of Multicollinearity in parametric model using some shrinkage methods

*Al Kut Journal of Economics Administrative Sciences, 2019, Volume 1, Issue 34, pages 169-181*

#### RUF procedures forgetting the best subset linear regression model"

*journal of Economics And Administrative Sciences, 2012, Volume 18, Issue 66, pages 357-386*

#### Comparison of Partial Least Squares and Principal Components Methods by Simulation

*journal of Economics And Administrative Sciences, 2016, Volume 22, Issue 87, pages 50-71*

#### discriminate analysis and logistic regression existence of multicolleniarty problem(Empirical Study on Anemia)

*journal of Economics And Administrative Sciences, 2017, Volume 23, Issue 99, pages 373-397*

#### The use of the Principal components and Partial least squares methods to estimate the parameters of the logistic regression model in the case of linear multiplication problem

*journal of Economics And Administrative Sciences, 2018, Volume 24, Issue 106, pages 338-355*

#### Comparison of the method of partial least squares and the algorithm of singular values decomposion to estimate the parameters of the logistic regression model in the case of the problem of linear multiplicity by using the simulation

*journal of Economics And Administrative Sciences, 2018, Volume 24, Issue 109, pages 458-471*