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Maha Shabbir

Observed name: Shabbir, Maha
ORCID: 0000-0002-1525-2505
Observed ORCID: 0000-0002-1525-2505
OpenAlex ID: A5060539769
Condition-index based new ridge regression estimator for linear regression model with multicollinearity
2023 · Irum Sajjad Dar, Sohail Chand, et al. · Kuwait Journal of Science · 67
A new ridge estimator for linear regression model with some challenging behavior of error term
2023 · Maha Shabbir, Sohail Chand, et al. · Communications in Statistics - Simulation and Computation · 27
Bagging-based ridge estimators for a linear regression model with non-normal and heteroscedastic errors
2022 · Maha Shabbir, Sohail Chand, et al. · Communications in Statistics - Simulation and Computation · 22
New penalized M-estimators in robust ridge regression: real life applications using sports and tobacco data
2023 · Danish Wasim, Sajjad Ahmad Khan, et al. · Communications in Statistics - Simulation and Computation · 15
A Novel Hybrid Method for River Discharge Prediction
2021 · Maha Shabbir, Sohail Chand, et al. · Water Resources Management · 15
Weighted penalized m-estimators in robust ridge regression: an application to gasoline consumption data
2024 · Danish Wasim, Muhammad Suhail, et al. · Journal of Statistical Computation and Simulation · 12
Hybrid Approach for Streamflow Prediction: LASSO-Hampel Filter Integration with Support Vector Machines, Artificial Neural Networks, and Autoregressive Distributed Lag Models
2024 · Maha Shabbir, Sohail Chand, et al. · Water Resources Management · 10
Prediction of river inflow of the major tributaries of Indus river basin using hybrids of EEMD and LMD methods
2023 · Maha Shabbir, Sohail Chand, et al. · Arabian Journal of Geosciences · 10
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
2024 · Danish Wasim, Muhammad Suhail, et al. · Kuwait Journal of Science · 9
Novel hybrid and weighted ensemble models to predict river discharge series with outliers
2024 · Maha Shabbir, Sohail Chand, et al. · Kuwait Journal of Science · 9
A novel hybrid framework to model the relationship of daily river discharge with meteorological variables
2024 · Maha Shabbir, Sohail Chand, et al. · Meteorology Hydrology and Water Management · 7
Bagging-based heteroscedasticity-adjusted ridge estimators in the linear regression model
2025 · Maha Shabbir, Sohail Chand, et al. · Kuwait Journal of Science · 6
Optimal model for predicting highest runs chase outcomes in T-20 international cricket using modern classification algorithms
2024 · Syed Asghar Ali Shah, Qamruz Zaman, et al. · Alexandria Engineering Journal · 6
Heteroscedastic-adjusted standard error based estimation of ridge parameter in the linear regression model
2025 · Maha Shabbir, Sohail Chand, et al. · Communication in Statistics- Theory and Methods · 4
Development and evaluation of new two-parameter ridge estimators for handling multicollinearity: simulation and applications
2026 · Danish Wasim, Qamruz Zaman, et al. · Journal of Statistical Computation and Simulation · 3
An improved ridge-type estimator leveraging weighted least squares and horn’s scaling for heteroscedastic regression
2025 · Irum Sajjad Dar, Sohail Chand, et al. · Communication in Statistics- Theory and Methods · 3
Performance of some robust improved Kibria-Lukman M-estimators for linear regression model in presence of multicollinearity and outliers
2026 · Danish Wasim, Muhammad Suhail, et al. · Communications in Statistics - Simulation and Computation · 2
Mitigating multicollinearity in ridge regression: a comparative study of quantile-based two parameter weighted KL-estimators
2026 · Qamruz Zaman, Danish Wasim, et al. · Research in Statistics · 2
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Hybrid method for river inflow prediction: an integration of Hampel filter, decomposition techniques, and support vector machine
2025 · Maha Shabbir, Sohail Chand, et al. · Applied Water Science · 1
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A new robust ridge estimator for linear regression model with non normal, heteroscedastic and autocorrelated errors
2025 · Sohail Chand, Maha Shabbir · Communication in Statistics- Theory and Methods · 1
Novel Hybrid Approach for River Inflow Modeling: Case Study of the Indus River Basin, Pakistan
2025 · Maha Shabbir, Sohail Chand, et al. · Journal of Hydrologic Engineering · 1
Mitigating multicollinearity and outliers via robust M-based biasing parameter selection in two-parameter ridge regression
2026 · Bushra Haider, Syed Muhammad Asim, et al. · Communications in Statistics Case Studies Data Analysis and Applications
Modified robust ridge M-estimators to improve linear regression performance under multicollinearity and outliers
2025 · Qamruz Zaman, Danish Wasim, et al. · Journal of Statistical Computation and Simulation
A novel hybrid approach based on outlier and error correction methods to predict river discharge using meteorological variables
2024 · Maha Shabbir, Sohail Chand, et al. · Environmental and Ecological Statistics
Review of: "Groundwater Potential Zone Assessment Using Remote Sensing, Geographical Information System (GIS), and Analytical Hierarchy Process (AHP) Techniques in Fogera Woreda, South Gondar Zone, Ethiopia"
2024 · Maha Shabbir · Qeios
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Works count: 28
Citation count: 232
H-index: 9
I10-index: 8
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