Dr .Muhammad Azeem | Statistics | Best Researcher Award
Profile Summary
Dr. Muhammad Azeem is a seasoned statistician with a Ph.D. in Statistics, specializing in Survey Sampling from the National College of Business Administration & Economics, Lahore, where they maintained an impressive GPA of 3.67/4.00. Their doctoral research, titled “On Estimation of Population Mean in the Presence of Measurement Error and Non-Response,” demonstrates expertise in addressing statistical complexities. With extensive academic contributions, they have been serving as an Assistant Professor at the University of Malakand since January 2020. Dr. [Name]’s research interests encompass a broad spectrum, including Survey Sampling, Systematic Sampling, Randomized Response, Ratio Estimation, Applied Statistics, and Mathematical Statisticsšš²
Professional Profiles
Ā š Education
PhD (Statistics), 2010-2014 National College of Business Administration & Economics, Lahore GPA: 3.67/4.00 Specialization: Survey Sampling Title of Thesis: “On Estimation of Population Mean in the Presence of Measurement Error and Non-Response”. M.Phil. (Applied Statistics), 2008-2010 National College of Business Administration & Economics, Lahore GPA: 3.25/4.00 Title of Thesis: “Some Aspects of Randomized Response Models”. M.Sc. (Statistics), 2004-2007 University of Peshawar, Peshawar, Pakistan Marks: 849/1200, 1st Division. B.Sc., 2002-2004 University of Peshawar, Peshawar, Pakistan Marks: 373/550, 1st Division HSSC, 2000-2002 BISE Peshawar, Pakistan Marks: 693/1100, 1st Division. SSC (Science Group), 1998-2000 BISE Peshawar, Pakistan Marks: 554/850, 1st Division
Ā š¼ Work Experience
Assistant Professor (TTS), Jan 2020-Present Department of Statistics, University of Malakand, Chakdara, Dir (L), KP, Pakistan. Assistant Professor (Contract), Jun 2015-Dec 2019 Department of Statistics, Islamia College Peshawar, KP, Pakistan. Assistant Professor (HEC-IPFP), Jun 2014-Jun 2015 Department of Statistics, Islamia College Peshawar, KP, Pakistan.
Ā šš Research Interests
- Survey Sampling
- Systematic Sampling
- Randomized Response
- Ratio Estimation
- Applied Statistics
- Mathematical Statistics