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Name: Dr. Manzoor Khan
Designation: Assistant Professor
Department: Statistics


Qualifications:
PhD. Statistics, University of New South Wales, Sydney, Australia

M.Phil. Statistics, Quaid-i-Azam University,
Islamabad, Pakistan, 2010.

M.Sc. Statistics, University of Peshawar,
Peshawar, Pakistan, 2007.


Phone: +92-51 9064-2254
Email: manzoor@qau.edu.pk
Status: On Job
Other Weblink:

View Resume

Research Interests Publications Conferences Research Projects

Survey Sampling, Estimation of Regression to the Mean Effect.

  1. Khan, M & Olivier, J. (2022) Regression to the mean: Estimation and adjustment under the bivariate normal distribution. Communications in Statistics - Theory and Methods, DOI: 10.1080/03610926.2022.2037645

  2. Haq, A. Abbas, Lee, MH & Khan, M. (2021) Estimation of finite population distribution function in a complex survey sampling, Communications in Statistics - Theory and Methods, DOI: 10.1080/03610926.2021.1955386

  3.  Haq, A, Ejaz, S, Lee, MA, Khan, M. A new double EWMA-t chart with auxiliary information for the process mean. Quality and Radiality Engineering International. 2021; 37: 3381– 3394. 

  4. Haq, A. Usman, M & Khan, M. (2021) Estimation of finite population variance under stratified random sampling. Communications in Statistics - Theory and Methods, DOI: 10.1080/03610918.2021.2009866
  5. Khan, M & Olivier, J. (2019) Regression to the mean for the bivariate binomial distribution. Statistics in Medicine, 38, 2391-2412.
  6. Khan, M & Olivier, J. (2018). Quantifying regression to the mean in Poisson process. Statistics in Medicine, 37, 3832-3848.
  7. Ali, S. Khan, M & Shabbir, J. (2018). Using extreme values and fractional raw moments for mean estimation in stratified random sampling. Hacettepe Journal of Mathematics and Statistics. 47:2, 383 – 402.
  8. Haq, A. Khan, M & Hussain, Z.  (2016). A new estimator of finite population mean based on the dual use of the auxiliary information. Communications in Statistics - Theory and Methods, 46:9, 4425-4436.
  9. Hussain, Z. Shabbir, J.  Pervez, Z.  Shah, SF & Khan, M. (2017). Generalized geometric distribution of order k: A flexible choice to randomize the response. Communications in Statistics - Simulation and Computation, 46:6, 4708 4721.
  10. Hussain, Z.  Al-Zahrani, B. Shabbir, J & Khan, M. (2014). On Using Negative Binomial Distribution as a Randomization Device in Sensitive Surveys. Communications in Statistics - Simulation and Computation, 45:10, 3584-3596. 
  11. Khan, M & Shabbir, J. (2014).  A General Class of Estimators for Finite Population Mean in the Presence of Non-response when using the Second Raw Moments. VFAST Transactions on Mathematics. 2, 19-36.
  12. Khan, M. Shabbir, J. Hussain, Z & Al-Zahrani, B. (2014). A Class of Estimators for Finite Population Mean in Double Sampling under Nonresponse Using Fractional Raw Moments. Journal of Applied Mathematics, 2014, 11 pages.
  13. Khan, M & Shabbir, J. (2013). Some Improved Ratio, Product, and Regression Estimators of Finite Population Mean When Using Minimum and Maximum Values. The Scientific World Journal. 2013, 7 pages.
i) Joint International Society for Clinical Biostatistics and Statistical Society of Australia (ISCB_SSA_2018), 26-30 August 2018, Convention and Exhibition Centre, Melbourne, Australia

ii) Joint Statistical Meetings 2019 (JSM_2019),  July 27 - August 1, 2019 Colorado Convention Center, Denver, Colorado, USA

Quaid-i-Azam University Islamabad, 45320, Pakistan.
Tel: +92-51 9064 0000, Email:webmaster@qau.edu.pk