Maha Shabbir
Maha Shabbir
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Maha Shabbir has a total of 23 co-authors. Here are the top co-authors by number of shared publications:
- Sohail Chand
College of Statistical Sciences, University of the Punjab
10 shared publications - Danish Wasim
Department of Management Sciences, Abasyn University Peshawar
8 shared publications - Farhat Iqbal
Imam Abulrahman Bin Faisal Univ
7 shared publications - Muhammad Suhail
Department of Statistics, the University of Agriculture Peshawar, Amir Muhammad Khan Campus Mardan
4 shared publications - Qamruz Zaman
Department of Statistics, University of Peshawar
4 shared publications - Bhuiyan Mohammad Golam Kibria
Department of Mathematics and Statistics, Florida International University
2 shared publications
Latest Publications
- 12 March 2026
- Published by Taylor & Francis in Communications in Statistics: Case Studies, Data Analysis and Applications
- Vol. 12 (3) , 1-20
Mitigating multicollinearity and outliers via robust M-based biasing parameter selection in two-parameter ridge regression
1. Regression analysis serves as the fundamental techniques in statistical modeling, enabling researchers to explore and quantify relationships between dependent and independent variables. Among it...
- 12 March 2026
- Published by Taylor & Francis in Communications in Statistics: Case Studies, Data Analysis and Applications
- Vol. 12 (3) , 1-20
Mitigating multicollinearity and outliers via robust M-based biasing parameter selection in two-parameter ridge regression
1. Regression analysis serves as the fundamental techniques in statistical modeling, enabling researchers to explore and quantify relationships between dependent and independent variables. Among it...
- Open Access
- 12 January 2026
- Published by Taylor & Francis in Research in Statistics
- Vol. 4 (1)
Mitigating multicollinearity in ridge regression: a comparative study of quantile-based two parameter weighted KL-estimators
- 12 January 2026
- Published by Taylor & Francis in Research in Statistics
- Vol. 4 (1)
Open AccessMitigating multicollinearity in ridge regression: a comparative study of quantile-based two parameter weighted KL-estimators
- Open Access
- 12 November 2025
- Published by Springer Nature in Applied Water Science
- Vol. 15 (12) , 1-16
Hybrid method for river inflow prediction: an integration of Hampel filter, decomposition techniques, and support vector machine
- 12 November 2025
- Published by Springer Nature in Applied Water Science
- Vol. 15 (12) , 1-16
Open AccessHybrid method for river inflow prediction: an integration of Hampel filter, decomposition techniques, and support vector machine
- 25 October 2025
- Published by Taylor & Francis in Journal of Statistical Computation and Simulation
- Vol. 96 (4) , 830-852
Modified robust ridge M-estimators to improve linear regression performance under multicollinearity and outliers
- 25 October 2025
- Published by Taylor & Francis in Journal of Statistical Computation and Simulation
- Vol. 96 (4) , 830-852
Modified robust ridge M-estimators to improve linear regression performance under multicollinearity and outliers
- 23 July 2025
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 55 (6) , 1724-1743
An improved ridge-type estimator leveraging weighted least squares and horn’s scaling for heteroscedastic regression
- 23 July 2025
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 55 (6) , 1724-1743
An improved ridge-type estimator leveraging weighted least squares and horn’s scaling for heteroscedastic regression
- Open Access
- 28 March 2025
- Published by Elsevier in Kuwait Journal of Science
- Vol. 52 (3)
Bagging-based heteroscedasticity-adjusted ridge estimators in the linear regression model
- 28 March 2025
- Published by Elsevier in Kuwait Journal of Science
- Vol. 52 (3)
Open AccessBagging-based heteroscedasticity-adjusted ridge estimators in the linear regression model
- Open Access
- 18 October 2024
- Published by Elsevier in Kuwait Journal of Science
- Vol. 52 (1)
Quantile-based robust Kibria–Lukman estimator for linear regression model to combat multicollinearity and outliers: Real life applications using T20 cricket sports and anthropometric data
- 18 October 2024
- Published by Elsevier in Kuwait Journal of Science
- Vol. 52 (1)
Open AccessQuantile-based robust Kibria–Lukman estimator for linear regression model to combat multicollinearity and outliers: Real life applications using T20 cricket sports and anthropometric data