Dr. Muhammad Shakir Khan, Islamia College Peshawar, Pakistan
Dr. Muhammad Shakir Khan is a seasoned Statistician, Researcher, and Data Analyst with over 15 years of professional experience. He holds a PhD in Statistics from Islamia College Peshawar and specializes in regression analysis, statistical modeling, and machine learning. As the Deputy Director (Statistics & Economics) at the Livestock & Dairy Development Department, Khyber Pakhtunkhwa, he oversees data management, research guidance, and project planning. Dr. Khan has published extensively in reputed journals and led numerous research projects in livestock and genetics. Proficient in R, Python, SPSS, and other analytical tools, he is passionate about advancing his skills and knowledge.
Publication Profile
Orcid
Professional Experience 🏢
Muhammad Shakir Khan, a seasoned Statistician, Researcher, and Data Analyst, boasts 15 years of experience in statistical analysis and research. He currently serves as Deputy Director (Statistics & Economics) at the Livestock & Dairy Development Department, Khyber Pakhtunkhwa, Pakistan, where he oversees the statistics section, guides researchers, and manages data for policy formulation. His previous roles include Statistical Officer and Statistical Assistant, focusing on data analysis, research, and project management.
Academic Qualifications 🎓
Ph.D. in Statistics (2018-2024): Islamia College Peshawar
M.Phil in Applied Statistics (2015-2017): Islamia College Peshawar
M.Sc. in Statistics (2007-2008): University of Peshawar
B.Sc. (2004-2006): University of the Punjab
Research Focus
Muhammad Shakir Khan’s research focuses on statistical modeling and data analysis, particularly in linear regression and its applications. He specializes in handling multicollinearity through ridge estimators and penalized regression techniques. His work includes applying these methods to medical, financial, and demographic data. He has contributed significantly to understanding statistical methodologies through simulations and practical applications. His expertise extends to machine learning, bootstrap methods, and advanced data analytics. His publications span various topics, including comparative performance analysis in zoology and food safety, showcasing his versatile application of statistical tools.
Publication Top Notes
- “On the estimation of ridge penalty in linear regression: Simulation and application” (2024, Kuwait Journal of Science, DOI: 10.1016/j.kjs.2024.100273) 📊🔬
- “On some two parameter estimators for the linear regression models with correlated predictors: Simulation and application” (2024, Communications in Statistics – Simulation and Computation, DOI: 10.1080/03610918.2024.2369809) 📈📚
- “On the performance of two-parameter ridge estimators for handling multicollinearity problem in linear regression: Simulation and application” (2023, AIP Advances, DOI: 10.1063/5.0175494) 📉🧮
- “Comparative Performance of Jersey Sired Calves from Achai Dams and Azakheli Buffalo Calves Fed with Milk Replacer” (2018, Pakistan Journal of Zoology, DOI: 10.17582/journal.pjz/2018.50.5.sc7) 🐄🍼
- “Determination of Aflatoxin M1 in Raw Milk for Human Consumption in Peshawar, Pakistan” (2015, Pakistan Journal of Zoology, WOS:000357140700037) 🥛⚠️