Dr. Syed Abdul Rehman
abdul.rehman2@buitms.edu.pk
Extension No:
Lecturer ,
Faculty of Basic Sciences

Qualification

Ph.D.
Statistics
Quaid-i-Azam University, Islamabad, Pakistan, (2024)
M.Phil.
Statistics
Quaid-i-Azam University, Islamabad, Pakistan, (2018)

Teaching Courses

  • B.Ed

Research Interest

  • Survey sampling
  • Statistical Reproducibility
  • Nonparametric Inferences
  • Regression Analysis
  • Estimation Methods
  • Simulations
  • Data Imputation

Awards & Achivements

  • HEC MS leading PhD Scholarship
    2024
  • HEC, IRSIP (research visit to DU, UK)
    2023
I recently completed my Ph.D. in Statistics at Quaid-i-Azam University, Pakistan, where my research focused on designing efficient survey methods, developing estimation techniques, and addressing key challenges in data collection, including non-response and imputation methods. As part of my doctoral studies in 2023, I completed a research visit to Durham University, UK, under the supervision of Prof. Frank Coolen. During this time, I worked on developing methods to investigate the statistical reproducibility of survey methods and other procedures. These are widely applicable in health sciences. My research interests include survey sampling, estimation, statistical reproducibility, nonparametric inference, regression models, missing data, and Monte Carlo simulation.

Publications

On the development of survey methods for novel mean imputation and its application to abalone data
Syed Abdul Rehman, Javid Shabbir, Laila A Al-Essa (2024) Heliyon vol. 10 no. 11 pp. -
Reproducibility of mean estimators under ranked set sampling
Syed Abdul Rehman, Tahani Coolen-Maturi, Frank PA Coolen, Javid Shabbir (2024) Franklin Open vol. 8 no. - pp. 100139
On the efficiency of paired ranked set sampling for estimating the population mean in the presence of non-response
Syed Abdul Rehman, Laila A Al-Essa, Javid Shabbir, Zaheen Khan (2024) Scientific Reports vol. 14 no. 1 pp. 25334
Handling non-response under ranked set sampling by Substitution method and its application to COVID-19 data
Syed Abdul Rehman, Javid Shabbir (2022) - vol. - no. - pp. -
An efficient class of estimators for finite population mean in the presence of non-response under ranked set sampling (RSS)
Syed Abdul Rehman, Javid Shabbir (2022) Plos one vol. 17 no. 12 pp. e0277232
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Work Experience

HBL , Cash Officer at Cash
May 2014 to January 2015