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Dr. Sadia Qamar has done PhD in Statistics from NCBA&E, Lahore. M. Phil and MSc in Statistics from Quaid-i-Azam University, Islamabad, Pakistan. She is currently working as an Assistant Professor (HEC Approved Supervisor).

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Experience

From To Post Held Organization
2009 2020 Lecturer University of Sargodha
2023 Continue Assistant Professor University of Sargodha
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Research Interests

Bayesian Statistics
Time Series Analysis and Forecasting
Statistical Inference
Geo statistics and Modeling problems related to social issues

Publications

    Research Journal


  • 5. Ali, F., Ali, Z., Li, B. Z., Qamar, S., Nazeer, A., Riaz, S., ... & Nawaz Abbasi, J. , 2022 , Water Reso Exploring regional profile of drought history-a new procedure to characterize and evaluate multi-scaler drought indices under spatial Poisson log-normal model. , Water Resources Management , 9,
  • Li, Z., Ali, Z., Cui, T., Qamar, S., Ismail, M., Nazeer, A., & Faisal, M. , 2022 , A comparative analysis of pre-and post-industrial spatiotemporal drought trends and patterns of Tibet Plateau using Sen slope estimator and steady-state probabilities of Markov Chain. , Natural Hazards , 1,
  • Qamar, S., Ali, Z., & Sammen, S. S. , 2022 , A new method for modelling precipitation variability in relation to climate change. , Journal of Water and Climate Change , 1,
  • Ali, Z., Ellahi, A., Hussain, I., Nazeer, A., Qamar, S., Ni, G., Faisal, M. , 2021 , Reduction of Errors in Hydrological Drought Monitoring–A Novel Statistical Framework for Spatio-Temporal Assessment of Drought. , Water Resources Management , 35,
  • Qamar, S., Khalique, A., Grzegorczyk, M. A. (2021). , 2021 , On the Bayesian network based data mining framework for the choice of appropriate time scale for regional analysis of drought Hazard. , Theoretical and Applied Climatology , 3,
  • Nazir, H. Z., Abid, M., Akhtar, N., Riaz, M., Qamar, , 2021 , An efficient mixed-memory-type control chart for normal and non-normal processes. , S. Scientia Iranica. , 3,
  • Ali, Z., Hussain, I., Faisal, M., Almanjahie, I. M., Ahmad, I., Khan, D. M., ... Qamar, S. , 2019 , A probabilistic weighted joint aggregative drought index (PWJADI) criterion for drought monitoring systems. , Tellus A: Dynamic Meteorology and Oceanography , 7,
  • Zaman, M., Shaheen, F., Haider, A., Qamar, S. , 2015 , Examining relationship between electricity consumption and its major determinants in Pakistan , International Journal of Energy Economics and Policy , 5,
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