Muhammad Qasim

Statistics and Probability · with Amin · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 37 citations into it
• Control and Systems Engineering — 11 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Muhammad Qasim trusts overall

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

1. Kristofer Månsson
2. B. M. G. Kibria
3. Ghazi Shukur
4. G. Khalaf
5. Kejian Liu
6. M. Revan Özkale
7. B. G. Golam Kibria
8. Mustafa I. Alheety
9. Selahattin Kaçıranlar
10. Sadullah Sakallioglu

Papers from Muhammad Qasim's perspective

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

1. Ridge Regression: Biased Estimation for Nonorthogonal Problems
2. Using Liu-Type Estimator to Combat Collinearity
3. Choosing Ridge Parameter for Regression Problems
4. On Biased Estimation in Linear Models (International Conference on Machine Learning and Computing)
5. The Restricted and Unrestricted Two-Parameter Estimators
6. A new biased estimator based on ridge estimation
7. Performance of Some New Ridge Regression Estimators
8. Beta Regression for Modelling Rates and Proportions
9. A new stochastic mixed ridge estimator in linear regression model
10. Ridge Regression: Applications to Nonorthogonal Problems

Their papers

• Performance of some ridge estimators for the gamma regression model (2020) — 82 citations
• On some beta ridge regression estimators: method, simulation and application (2021) — 68 citations
• Performance of some new Liu parameters for the linear regression model (2020) — 57 citations
• On the performance of some new Liu parameters for the gamma regression model (2018) — 65 citations