Ph.D., Statistics, Spring 2021
- Thesis Topic: Properties, Estimations and Applications of new Families of Continuous Distributions.
- Supervisor: Zahid Asghar, Ph.D
Quaid-i-Azam University Islamabad, Pakistan.
M.Phil, Statistics, Fall 2012
- Thesis Topic: On additive quantitative randomized response models in sensitive surveys.
- Supervisor: Zawar Hussain, Ph.D
Quaid-i-Azam University Islamabad, Pakistan
M.Sc., Statistics, Fall 2009
Quaid-i-Azam University Islamabad, Pakistan.
B.Sc., Math A& B, Statistics, August 2006
Hazara University Mansehra, Pakistan.
F.Sc., Pre-Engg., August 2004
Karakorum International University Gilgit, Pakistan.
Matric, Science, August 2001
FBISE Islamabad, Pakistan.
National University of Modern Langauges February 2022 to date
Rawalpindi Women University Fall 2021
Quaid-i-Azam University, Islamabad Fall 2017 to Fall 2020
Air University, Islamabad Spring 2018
Karakorum International University, Gilgit Spring 2014 & Fall 2014
University of Wah, Wah Cantt. Spring 2013 & Fall 2013
- Aslam, M., Ley, C., Hussain, Z., Shah, S. F., & Asghar, Z. (2020). A new generator for proposing flexible lifetime distributions and its properties. PloS one, 15(4).
- Aslam, M., Asghar, Z., Hussain, Z., & Shah, S. F. (2020). A modified TX family of distributions: classical and Bayesian analysis. Journal of Taibah University for Science, 14(1), 254-264.
- Hussain, Z., Aslam, M., & Asghar, Z. (2019). On Exponential Negative-Binomial-X Family of Distributions. Annals of Data Science, 6(4), 651-672.
- Muhammad, A., Zawar, H., & Asghar, Z. (2018). Cubic Transmuted-G Family of Distributions and Its Properties. Stochastics and Quality Control, 33(2), 103-112.
- Aslam, M., Hussain, Z., Asghar, Z. Modified Generalized Marshall-Olkin Family of Distributions. International Journal of Advanced Statistics and Probability, 2019. Accepted
- Aslam, M., Hussain, Z., Asghar, Z. A Unit Weibull generator for proposing new flexible family of distributions.
- Applied Statistics
- Distribution Theory
- Data Science
Education
Ph.D., Statistics, Spring 2021
- Thesis Topic: Properties, Estimations and Applications of new Families of Continuous Distributions.
- Supervisor: Zahid Asghar, Ph.D
Quaid-i-Azam University Islamabad, Pakistan.
M.Phil, Statistics, Fall 2012
- Thesis Topic: On additive quantitative randomized response models in sensitive surveys.
- Supervisor: Zawar Hussain, Ph.D
Quaid-i-Azam University Islamabad, Pakistan
M.Sc., Statistics, Fall 2009
Quaid-i-Azam University Islamabad, Pakistan.
B.Sc., Math A& B, Statistics, August 2006
Hazara University Mansehra, Pakistan.
F.Sc., Pre-Engg., August 2004
Karakorum International University Gilgit, Pakistan.
Matric, Science, August 2001
FBISE Islamabad, Pakistan.
Experience
National University of Modern Langauges February 2022 to date
Rawalpindi Women University Fall 2021
Quaid-i-Azam University, Islamabad Fall 2017 to Fall 2020
Air University, Islamabad Spring 2018
Karakorum International University, Gilgit Spring 2014 & Fall 2014
University of Wah, Wah Cantt. Spring 2013 & Fall 2013
Publications
- Aslam, M., Ley, C., Hussain, Z., Shah, S. F., & Asghar, Z. (2020). A new generator for proposing flexible lifetime distributions and its properties. PloS one, 15(4).
- Aslam, M., Asghar, Z., Hussain, Z., & Shah, S. F. (2020). A modified TX family of distributions: classical and Bayesian analysis. Journal of Taibah University for Science, 14(1), 254-264.
- Hussain, Z., Aslam, M., & Asghar, Z. (2019). On Exponential Negative-Binomial-X Family of Distributions. Annals of Data Science, 6(4), 651-672.
- Muhammad, A., Zawar, H., & Asghar, Z. (2018). Cubic Transmuted-G Family of Distributions and Its Properties. Stochastics and Quality Control, 33(2), 103-112.
- Aslam, M., Hussain, Z., Asghar, Z. Modified Generalized Marshall-Olkin Family of Distributions. International Journal of Advanced Statistics and Probability, 2019. Accepted
- Aslam, M., Hussain, Z., Asghar, Z. A Unit Weibull generator for proposing new flexible family of distributions.
Interests
- Applied Statistics
- Distribution Theory
- Data Science