Muhammad Qasim

M.Phil. (BZU), M.Sc. (BZU)
Lecturer (Statistics)

Department of Statistics and Computer Science
University of Veterinary and Animal sciences, Lahore, PakistanĀ 
Cell #: 0092-3002050753
Tel #: 049-442708. EXT 5018
Email: muhammad.qasim@uvas.edu.pk

Biography

Muhammad Qasim earned Master degree in Statistics with distinction (Gold medalist) in 2015 and M.Phil. in Statistics with award (Bronze medalist) in 2017 from Bahauddin Zakariya University (BZU), Multan. During his studies, he was involved in teaching in Muhammad Nawaz Sharif Agriculture University of Multan and BZU, Multan and served there for two years. In January 2018, he joined the Department of Statistics and Computer Science, University of Veterinary and Animal Sciences, Lahore as lecturer.

Research Interest

  1. Regression Modeling, Generalized Linear Models, Biased Estimation Methods

Publication

 

  1. Amin, M., Qasim, M., Amanullah, M., Saima, A (2017). Performance of some ridge estimators for the gamma regression model. Stat Paper. https://doi.org/10.1007/s00362-017-0971-z. (IF = 1.024).
  2. 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. https://doi.org/10.1080/00949655.2018.1498502 (IF= 0.869).
  3. Omer, T., Zawar, H., Qasim, M., Khan, AA. & Shah, FS. (2018). Two Different Classes of Shrinkage Estimators for the Scale Parameter of the Rayleigh Distribution. Journal of Modern Applied Statistical Methods. (Accepted).
  4. Alka., Rai, KP & Qasim, M. (2018). Calibration-Based Estimators using Different Distance Measures under Two Auxiliary Variables: A Comparative Study. Journal of Modern Applied Statistical Methods. (Accepted).
  5. 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. https://doi.org/10.1080/00949655.2018.1558226 (IF = 0.869).
  6. Qasim, M., Amin, M., & Omer., T. (2019). Performance of some new Liu parameters for the linear regression model.  Communication in Statistics-Theory and Methods. https://doi.org/10.1080/03610926.2019.1595654 (IF = 0.353).
  7. Sattar, T., Ullah, M., Qasim, M., & Warraich, I. (2019). Role of Job Designs in Determining Employees’ Work Motivation in Banking Sector of Multan City, Pakistan. Review of Economics And Development Studies, 5(1), 145-154. https://doi:10.26710/reads.v5i1.425.
  8. Alka., Rai, KP & 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. https://doi.org/10.1080/00949655.2019.1616205 (IF = 0.869)

 

  1. Qasim, M., Amin, M., Azam, M., & Omer, T. (2019). On Almost Unbiased Ridge Estimator in the Poisson Regression Model. 2ndAsia-Pacific Conference on Applied Mathematics and Statistics. University of Malaya, Kuala Lumpur, Malaysia-February 21-24, 2019.
  2. Omer, T., Hussain, Z., & Qasim, M. (2019). Optimized monitoring network of Pakistan. 2ndAsia-Pacific Conference on Applied Mathematics and Statistics. University of Malaya, Kuala Lumpur, Malaysia-February 21-24, 2019.

 

 

Conference / Seminars

  1. One-day workshop on “Endnote x7 Basic” Organized by Department of Statistics & Computer Science, University of Veterinary & Animal Sciences, Lahore, 2018.
  2. Presented a research paper at “2019 Asia-Pacific Conference on Applied Mathematics and Statistics.” Held at university of Malaya, Kuala Lumpur, Malaysia.
  3. One day Seminar on “Environmental Health Challenges in Pakistan: Probing the Solutions”, April 24, 2019.