Efficient Estimation and Robust Inference of Linear Regression Models in the Presence of Heteroscedastic Errors and High Leverage Points. - Muhammad Aslam 010; Tahira Riaz; Saima Altaf (Commun. Stat. Simul. Comput., 2013)

Performance of Kibria's Method for the Heteroscedastic Ridge Regression Model: Some Monte Carlo Evidence. - Muhammad Aslam 010 (Commun. Stat. Simul. Comput., 2014)

Using Heteroscedasticity-Consistent Standard Errors for the Linear Regression Model with Correlated Regressors. - Muhammad Aslam 010 (Commun. Stat. Simul. Comput., 2014)

mctest: An R Package for Detection of Collinearity among Regressors. - Muhammad Imdadullah; Muhammad Aslam 010; Saima Altaf (R J., 2016)

liureg: A Comprehensive R Package for the Liu Estimation of Linear Regression Model with Collinear Regressors. - Muhammad Imdadullah; Muhammad Aslam 010; Saima Altaf (R J., 2017)

lmridge: A Comprehensive R Package for Ridge Regression. - Muhammad Imdad Ullah; Muhammad Aslam 010; Saima Altaf (R J., 2018)

In silico structural and functional characterization and phylogenetic study of alkaline phosphatase in bacterium, Rhizobium leguminosarum (Frank 1879). - Qudsia Yousafi; Saba Kanwal; Hamid Rashid; Muhammad Saad Khan; Shahzad Saleem; Muhammad Aslam 010 (Comput. Biol. Chem., 2019)

Influential diagnostics with Pena's statistic for the modified ridge regression. - Muhammad Kashif; Muhammad Aman Ullah; Muhammad Aslam 010 (Commun. Stat. Simul. Comput., 2021)

Addressing the distributed lag models with heteroscedastic errors. - Abdul Majid; Muhammad Aslam 010; Saima Altaf; Muhammad Amanullah (Commun. Stat. Simul. Comput., 2021)

Another proposal about the new two-parameter estimator for linear regression model with correlated regressors. - Shakeel Ahmad; Muhammad Aslam 010 (Commun. Stat. Simul. Comput., 2022)

The modified Liu-ridge-type estimator: a new class of biased estimators to address multicollinearity. - Muhammad Aslam 010; Shakeel Ahmad (Commun. Stat. Simul. Comput., 2022)

Bayesian estimation of the biasing parameter for ridge regression: A novel approach. - Fareeha Rashid; Saima Altaf; Muhammad Aslam 010 (Commun. Stat. Simul. Comput., 2022)

A robust Kibria-Lukman estimator for linear regression model to combat multicollinearity and outliers. - Abdul Majid; Shakeel Ahmad; Muhammad Aslam 010; Muhammad Kashif (Concurr. Comput. Pract. Exp., 2023)

New quantile based ridge M-estimator for linear regression models with multicollinearity and outliers. - Muhammad Suhail; Sohail Chand; Muhammad Aslam 010 (Commun. Stat. Simul. Comput., 2023)

An adaptive weighted least squares ratio approach for estimation of heteroscedastic linear regression model in the presence of outliers. - Zahra Zafar; Muhammad Aslam 010 (Commun. Stat. Simul. Comput., 2023)

The Almon M-estimator for the distributed lag model in the presence of outliers. - Abdul Majid; Muhammad Aslam 010 (Commun. Stat. Simul. Comput., 2023)

New robust ridge estimators for the linear regression model with outliers. - Abdul Majid; Muhammad Amin; Muhammad Aslam 010; Shakeel Ahmad (Commun. Stat. Simul. Comput., 2023)

A novel Bayesian framework to address unknown heteroscedasticity for the linear regression model. - Saima Altaf; Fareeha Rashid; Muhammad Aslam 010; Sadaf Riasat (Commun. Stat. Simul. Comput., 2024)

Robust estimation of the distributed lag model with multicollinearity and outliers. - Abdul Majid; Muhammad Aslam 010; Shakeel Ahmad; Saima Altaf; Saima Afzal (Commun. Stat. Simul. Comput., 2024)

Extending the Liu estimator for the Cox proportional hazards regression model with multicollinearity. - Sonia Ahmad; Muhammad Aslam 010; Shakeel Ahmad (Commun. Stat. Simul. Comput., 2024)

Adaptive partial least squares estimation addressing heteroscedasticity and multicollinearity: a Monte Carlo simulation evidence. - Haris Khurram; Muhammad Aslam 010 (Commun. Stat. Simul. Comput., 2025)