Dr. Muhammad Suhail
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Dr. Muhammad Suhail

Lecturer
The University of Agriculture Peshawar, Peshawar, Pakistan

Highest Degree
Ph.D. in Statistics from University of the Punjab, Lahore, Pakistan

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Area of Interest:

Statistics
100%
Linear Regression
62%
Robust Ridge Regression
90%
Applied Statistics
75%
Robust Regression
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
23
Abstracts
14

Selected Publications

  1. Yasin, S., S. Salem, H. Ayed, S. Kamal, M. Suhail and Y.A.Khan, 2021. Modified robust ridge m-estimators in two-parameter ridge regression model. Math. Prob. Eng., Vol. 2021. 10.1155/2021/1845914.
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  2. Yasin, S., S. Kamal and M. Suhail, 2021. Performance of some new ridge parameters in two-parameter ridge regression model. Iran. J. Sci. Technol. Trans. Sci., 45: 327-341.
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  3. Suhail, M.,I. Babar, Y.A. Khan, M. Imran and Z. Nawaz, 2021. Quantile-based estimation of liu parameter in the linear regression model: Applications to Portland cement and US crime data. Math. Prob. Eng., Vol. 2021. 10.1155/2021/1772328.
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  4. Suhail, M., S. Chand and M. Aslam, 2021. New quantile based ridge M-estimator for linear regression models with multicollinearity and outliers. Commun. Stat. Simul. Comput., 10.1080/03610918.2021.1884715.
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  5. Suhail, M., S. Chand and B.M.G. Kibria, 2021. Quantile-based robust ridge m-estimator for linear regression model in presence of multicollinearity and outliers. Commun. Stat. Simul. Comput., 50: 3194-3206.
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  6. Perveen, I. and M. Suhail, 2021. Bootstrap Liu estimators for Poisson regression model. Commun. Stat. Simul. Comput., 10.1080/03610918.2021.1916825.
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  7. Babar, I., H. Ayed, S. Chand, M. Suhail, Y.A. Khan and R. Marzouki, 2021. Modified Liu estimators in the linear regression model: An application to Tobacco data. PLoS ONE, Vol. 16. 10.1371/JOURNAL.PONE.0259991.
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  8. Ali, S., H. Khan, I. Shah, M.M. Butt and M. Suhail, 2021. A comparison of some new and old robust ridge regression estimators. Commun. Stat. Simul. Comput., 50: 2213-2231.
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  9. Suhail, M., S. Chand and B.M.G. Kibria, 2020. Quantile based estimation of biasing parameters in ridge regression model. Commun. Stat. Simul. Comput., 49: 2732-2744.
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