Issam Dawoud

Statistics and Probability · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 18 citations into it

Whom Issam Dawoud trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. B. M. G. Kibria
2. M. Revan Özkale
3. Peter Filzmoser
4. Adewale F. Lukman
5. Selahattin Kaçıranlar
6. Hu Yang
7. Kayode Ayinde
8. Xinfeng Chang
9. G. Khalaf
10. Sadullah Sakallioglu

Papers from Issam Dawoud's perspective

Ordered by how strongly the researchers Issam Dawoud trusts endorse each paper. Same corpus, a different order for every researcher.

1. Performance of Some New Ridge Regression Estimators
2. The Restricted and Unrestricted Two-Parameter Estimators
3. INADMISSIBILITY OF THE USUAL ESTIMATOR FOR THE MEAN OF A MULTIVARIATE NORMAL DISTRIBUTION
4. Ridge Regression: Biased Estimation for Nonorthogonal Problems
5. Choosing Ridge Parameter for Regression Problems
6. Review and classications of the ridge parameter estimation techniques
7. A New Two-Parameter Estimator in Linear Regression
8. Modified ridge‐type estimator to combat multicollinearity: Application to chemical data (Journal of Chemometrics)
9. A new biased estimator based on ridge estimation
10. A Modified New Two-Parameter Estimator in a Linear Regression Model (Modelling and Simulation in Engineering)

Their papers

• Robust Dawoud–Kibria estimator for handling multicollinearity and outliers in the linear regression model (2021) — 69 citations
• A New Biased Estimator to Combat the Multicollinearity of the Gaussian Linear Regression Model (2020) — 69 citations