Muhammad Aslam

According to our database, Muhammad Aslam authored at least 21 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Adaptive partial least squares estimation addressing heteroscedasticity and multicollinearity: a Monte Carlo simulation evidence.

Haris Khurram, Muhammad Aslam

Commun. Stat. Simul. Comput., June, 2025

2024

Extending the Liu estimator for the Cox proportional hazards regression model with multicollinearity.

Sonia Ahmad, Muhammad Aslam, Shakeel Ahmad

Commun. Stat. Simul. Comput., December, 2024

Robust estimation of the distributed lag model with multicollinearity and outliers.

Abdul Majid, Muhammad Aslam, Shakeel Ahmad, Saima Altaf, Saima Afzal

Commun. Stat. Simul. Comput., August, 2024

A novel Bayesian framework to address unknown heteroscedasticity for the linear regression model.

Saima Altaf, Fareeha Rashid, Muhammad Aslam, Sadaf Riasat

Commun. Stat. Simul. Comput., March, 2024

2023

New robust ridge estimators for the linear regression model with outliers.

Abdul Majid, Muhammad Amin, Muhammad Aslam, Shakeel Ahmad

Commun. Stat. Simul. Comput., October, 2023

The Almon M-estimator for the distributed lag model in the presence of outliers.

Abdul Majid, Muhammad Aslam

Commun. Stat. Simul. Comput., July, 2023

An adaptive weighted least squares ratio approach for estimation of heteroscedastic linear regression model in the presence of outliers.

Zahra Zafar, Muhammad Aslam

Commun. Stat. Simul. Comput., June, 2023

New quantile based ridge M-estimator for linear regression models with multicollinearity and outliers.

Muhammad Suhail, Sohail Chand, Muhammad Aslam

Commun. Stat. Simul. Comput., April, 2023

A robust Kibria-Lukman estimator for linear regression model to combat multicollinearity and outliers.

Abdul Majid, Shakeel Ahmad, Muhammad Aslam, Muhammad Kashif

Concurr. Comput. Pract. Exp., February, 2023

2022

Bayesian estimation of the biasing parameter for ridge regression: A novel approach.

Fareeha Rashid, Saima Altaf, Muhammad Aslam

Commun. Stat. Simul. Comput., 2022

The modified Liu-ridge-type estimator: a new class of biased estimators to address multicollinearity.

Muhammad Aslam, Shakeel Ahmad

Commun. Stat. Simul. Comput., 2022

Another proposal about the new two-parameter estimator for linear regression model with correlated regressors.

Shakeel Ahmad, Muhammad Aslam

Commun. Stat. Simul. Comput., 2022

2021

Addressing the distributed lag models with heteroscedastic errors.

Abdul Majid, Muhammad Aslam, Saima Altaf, Muhammad Amanullah

Commun. Stat. Simul. Comput., 2021

Influential diagnostics with Pena's statistic for the modified ridge regression.

Muhammad Kashif, Muhammad Aman Ullah, Muhammad Aslam

Commun. Stat. Simul. Comput., 2021

2019

<i>In silico</i> structural and functional characterization and phylogenetic study of alkaline phosphatase in bacterium, <i>Rhizobium leguminosarum</i> (Frank 1879).

Qudsia Yousafi, Saba Kanwal, Hamid Rashid, Muhammad Saad Khan, Shahzad Saleem, Muhammad Aslam

Comput. Biol. Chem., 2019

2018

lmridge: A Comprehensive R Package for Ridge Regression.

Muhammad Imdad Ullah, Muhammad Aslam, Saima Altaf

R J., 2018

2017

liureg: A Comprehensive R Package for the Liu Estimation of Linear Regression Model with Collinear Regressors.

Muhammad Imdadullah, Muhammad Aslam, Saima Altaf

R J., 2017

2016

mctest: An R Package for Detection of Collinearity among Regressors.

Muhammad Imdadullah, Muhammad Aslam, Saima Altaf

R J., 2016

2014

Using Heteroscedasticity-Consistent Standard Errors for the Linear Regression Model with Correlated Regressors.

Muhammad Aslam

Commun. Stat. Simul. Comput., 2014

Performance of Kibria's Method for the Heteroscedastic Ridge Regression Model: Some Monte Carlo Evidence.

Muhammad Aslam

Commun. Stat. Simul. Comput., 2014

2013

Efficient Estimation and Robust Inference of Linear Regression Models in the Presence of Heteroscedastic Errors and High Leverage Points.

Muhammad Aslam, Tahira Riaz, Saima Altaf

Commun. Stat. Simul. Comput., 2013