Muhammad Qasim

Doctoral Candidate Statistics
Statistics , Jönköping International Business School

Research Interests:

One area that I have been researching extensively is model averaging. This technique involves considering multiple models and then combining them to produce more accurate and robust methods for estimating the causal effect. I am also exploring shrinkage estimators for regression models. As an econometrician, I have experience with structural equation modeling and instrumental variables (IV) estimation. Additionally, I am interested in efficiency analysis, which involves assessing the ability of an economic system to allocate resources in the most optimal way. In my previous work, I developed some robust methods for handling data with multicollinearity, outliers, and heteroscedasticity. 

 

Article

Qasim, M., Månsson, K., Sjölander, P., Kibria, B. (2024). Stein-type control function maximum likelihood estimator for the probit model in the presence of endogeneity Econometrics and Statistics. More information
Akram, M., Amin, M., Qasim, M. (2023). A new biased estimator for the gamma regression model: Some applications in medical sciences Communications in Statistics - Theory and Methods, 52(11), 3612-3632. More information
Farghali, R., Qasim, M., Kibria, B., Abonazel, M. (2023). Generalized two-parameter estimators in the multinomial logit regression model: methods, simulation and application Communications in statistics. Simulation and computation, 52(7), 3327-3342. More information
Kausar, T., Akbar, A., Qasim, M. (2023). Influence diagnostics for the Cox proportional hazards regression model: method, simulation and applications Journal of Statistical Computation and Simulation, 93(10), 1580-1600. More information
Abdel-Rahman, S., Awwad, F., Qasim, M., Abonazel, M. (2023). New evidence of gender inequality during COVID-19 outbreak in the Middle East and North Africa Heliyon, 9(7). More information
Qasim, M. (2023). A weighted average limited information maximum likelihood estimator Statistical papers. More information
Yasin, M. Ahmad, A. Khaliq, T. Habib-ur-Rahman, M. Niaz, S. Gaiser, T. , ... Hoogenboom G. (2022). Climate change impact uncertainty assessment and adaptations for sustainable maize production using multi-crop and climate models Environmental Science and Pollution Research, 29, 18967-18988. More information
Amin, M., Ullah, M., Qasim, M. (2022). Diagnostic techniques for the inverse Gaussian regression model Communications in Statistics - Theory and Methods, 51(8), 2552-2564. More information
Yasin, A., Amin, M., Qasim, M., Muse, A., Soliman, A. (2022). More on the Ridge Parameter Estimators for the Gamma Ridge Regression Model: Simulation and Applications Mathematical problems in engineering (Print). More information
Amjad, M. Saleem, M. Iqbal, M. Hassan, A. Jabbar, A. Ashraf, M. , ... Ahmad I. (2022). Efficacy of Quinapyramine Sulphate, Isometamedium Chloride and Diminazene Aceturate For Treatment of Surra Journal of Animal and Plant Sciences, 32(3), 663-669. More information
Amin, M., Qasim, M., Yasin, A., Amanullah, M. (2022). Almost unbiased ridge estimator in the gamma regression model Communications in statistics. Simulation and computation, 51(7), 3830-3850. More information
Amin, M., Qasim, M., Afzal, S., Naveed, K. (2022). New ridge estimators in the inverse Gaussian regression: Monte Carlo simulation and application to chemical data Communications in statistics. Simulation and computation, 51(10), 6170-6187. More information
Naveed, K., Amin, M., Afzal, S., Qasim, M. (2022). New shrinkage parameters for the inverse Gaussian Liu regression Communications in Statistics - Theory and Methods, 51(10), 3216-3236. More information
Qasim, M., Månsson, K., Sjölander, P., Kibria, B. (2022). A new class of efficient and debiased two-step shrinkage estimators: method and application Journal of Applied Statistics, 49(16), 4181-4205. More information
Qasim, M., Akram, M., Amin, M., Månsson, K. (2022). A restricted gamma ridge regression estimator combining the gamma ridge regression and the restricted maximum likelihood methods of estimation Journal of Statistical Computation and Simulation, 92(8), 1696-1713. More information
Alka, S., Rai, P., Qasim, M. (2022). Two-Step Calibration Estimator with Double Use of Auxiliary Variable: Method and Application Journal of the Iranian Statistical Society, 21(1), 37-54. More information
Asif, M., Aslam, M., Qasim, M., Altaf, S., Ismail, A., Ali, H. (2021). A dataset about anthropometric measurements of the Pakistani children and adolescents using a cross-sectional multi-ethnic anthropometric survey Data in Brief, 34. More information
Khan, A. Sajid, R. Gul, S. Hussain, A. Zehri, M. Naz, S. , ... Ahmed H. (2021). Epidemiological and Pathological Characteristics of Cutaneous Leishmaniasis from Baluchistan Province of Pakistan Parasitology, 148(5), 591-597. More information
Asif, M. Aslam, M. Ullah, K. Qasim, M. Afzal, K. Abbas, A. , ... Wyszynska J. (2021). Diagnostic Performance and Appropriate Cut-Offs of Different Anthropometric Indicators for Detecting Children with Overweight and Obesity BioMed Research International. More information
Asif, M. Aslam, M. Khan, S. Altaf, S. Ahmad, S. Qasim, M. , ... Wyszyńska J. (2021). Developing Neck Circumference Growth Reference Charts for Pakistani Children and Adolescents Using the Lambda-Mu-Sigma (LMS) and Quantile Regression Method Public Health Nutrition, 24(17), 5641-5649. More information
Qasim, M., Månsson, K., Golam Kibria, B. (2021). On some beta ridge regression estimators: method, simulation and application Journal of Statistical Computation and Simulation, 91(9), 1699-1712. More information
Mushtaq, A. Shoukat, T. Mumtaz, T. Qasim, M. Ajmal, K. Fatima, N. , ... Ahmed H. (2021). Tick-borne Diseases in Sheep and Goats in Pakistan: A Systematic Review and Meta-analysis Acta Parasitologica, 66, 1316-1325. More information
Alheety, M., Qasim, M., Månsson, K., Kibria, B. (2021). Modifed almost unbiased two-parameter estimator for the Poisson regression model with an application to accident data SORT - Statistics and Operations Research Transactions, 45(2), 121-142. More information
Irum, S. Aftab, M. Khan, A. Naz, S. Simsek, S. Habib, A. , ... Ahmed H. (2021). Cutaneous Leishmaniasis (CL): A Cross-Sectional Community Based Survey on Knowledge, Attitude and Practices in a Highly Endemic Area of Waziristan (KPK Province), Pakistan Acta Tropica, 213. More information
Akram, M., Amin, M., Qasim, M. (2020). A new Liu-type estimator for the Inverse Gaussian Regression Model Journal of Statistical Computation and Simulation, 90(7), 1153-1172. More information
Saqib, M. Siddiqui, S. Qasim, M. Jamil, M. Rafique, I. Awan, U. , ... Afzal M. (2020). Effect of COVID-19 lockdown on patients with chronic diseases Diabetes & Metabolic syndrome: clinical Research & Reviews, 14(6), 1621-1623. More information
Jabbar, A. Saleem, M. Iqbal, M. Qasim, M. Ashraf, M. Tolba, M. , ... Ahmad I. (2020). Epidemiology and antibiogram of common mastitis-causing bacteria in Beetal goats Veterinary World, 13(12), 2596-2607. More information
Qasim, M., Awan, U., Afzal, M., Saqib, M., Siddiqui, S., Ahmed, H. (2020). Dataset of knowledge, attitude, practices and psychological implications of healthcare workers in Pakistan during COVID-19 pandemic Data in Brief, 32. More information
Qasim, M., Amin, M., Sarwar, M. (2020). Effect Of Different Biochemical Traits On Seed Cotton Yield: An Application Of Liu Linear Regression Journal of Animal and Plant Sciences, 30(6), 1533-1539. More information
Qasim, M., Kibria, B., Månsson, K., Sjölander, P. (2020). A new Poisson Liu Regression Estimator: method and application Journal of Applied Statistics, 47(12), 2258-2271. More information
Qasim, M., Månsson, K., Amin, M., Golam Kibria, B., Sjölander, P. (2020). Biased Adjusted Poisson Ridge Estimators-Method and Application Iranian Journal of Science and Technology Transaction A: Science, 44, 1775-1789. More information
Qasim, M., Amin, M., Omer, T. (2020). Performance of some new Liu parameters for the linear regression model Communications in Statistics - Theory and Methods, 49(17), 4178-4196. More information
Amin, M., Qasim, M., Amanullah, M., Afzal, S. (2020). Performance of some ridge estimators for the gamma regression model Statistical papers, 61(3), 997-1026. More information
Alka, ., Rai, P., Qasim, M. (2019). Two-step calibration of design weights under two auxiliary variables in sample survey Journal of Statistical Computation and Simulation, 89(12), 2316-2327. More information
Amin, M., Amanullah, M., Aslam, M., Qasim, M. (2019). Influence diagnostics in gamma ridge regression model Journal of Statistical Computation and Simulation, 89(3), 536-556. More information
Amin, M., Qasim, M., Amanullah, M. (2019). Performance of Asar and Genç and Huang and Yang’s Two-Parameter Estimation Methods for the Gamma Regression Model Iranian Journal of Science and Technology, Transactions A: Science, 43(6), 2951-2963. More information
Qasim, M., Amin, M., Akram, M., Omer, T., Hussain, F. (2019). Forecasting buffalo population of Pakistan using autoregressive integrated moving average (ARIMA) time series models Proceedings of the Pakistan Academy of Sciences: Part A, 56(3), 11-20. More information
Qasim, M., Amin, M., Amanullah, M. (2018). On the performance of some new Liu parameters for the gamma regression model Journal of Statistical Computation and Simulation, 88(16), 3065-3080. More information

Conference paper

Qasim, M., Amin, M., Azam, M., Omer, T. (2019). On Almost Unbiased Ridge Estimator in the Poisson Regression Model. 2nd Asia-Pacific Conference on Applied Mathematics and Statistics, University of Malaya, Kuala Lumpur, Malaysia, February 21-24, 2019. More information
Omer, T., Hussein, Z., Qasim, M. (2019). Optimized monitoring network of Pakistan. 2nd Asia-Pacific Conference on Applied Mathematics and Statistics, University of Malaya, Kuala Lumpur, Malaysia, February 21-24, 2019. More information
Toker, S., Üstündag Siray, G., Qasim, M. (2019). Developing a First Order Two Parameter Estimator for Generalized Linear Models. 11th International statistics Congress ISC2019, 4 - 8 October 2019, Bodrum, Mugla, Turkey. More information