Muhammad Shakir | satistics | Academician/Research Scholar
Biography of Muhammad Shakir Khan
Educational Background:
- PhD in Statistics
- M.Phil. in Applied Statistics
- M.Sc. in Statistics
Professional Experience:
Muhammad Shakir Khan is a seasoned Statistician, Researcher, and Data Analyst with 15 years of professional experience. Throughout his career, he has demonstrated a strong commitment to advancing the field of statistics through research and practical applications. His extensive experience encompasses various domains, including medical, financial, and demographic data analysis. Known for his passion for learning new skills and technologies, Muhammad has consistently contributed to the development and application of advanced statistical methods.
Research Interests:
Muhammad’s research interests lie in statistical modeling, particularly the applications of regression and time series models. He is also focused on penalized regression, bootstrap methods, and Machine Learning. His work often explores innovative approaches to solving complex data analysis problems, with a keen interest in leveraging statistical techniques to provide insights and solutions in various applied contexts.
profile:
Educational background:
Muhammad Shakir Khan holds a PhD in Statistics, an M.Phil. in Applied Statistics, and an M.Sc. in Statistics. His extensive education has provided him with a strong foundation in statistical theories and applications, enabling him to excel in various professional and research roles.
Academic Credentials:
- PhD in Statistics
- M.Phil. in Applied Statistics
- M.Sc. in Statistics
Professional Experience:
publication top notes:
- Khan MS, Ali A, Suhail M, Alotaibi ES, Alsubaie NE. On the estimation of ridge penalty in linear regression: simulation and application. Kuwait Journal of Science 2024-10. DOI:
- Khan MS, Ali A, Suhail M, Alotaibi ES, Alsubaie NE. On the estimation of ridge penalty in linear regression: simulation and application. Kuwait Journal of Science 2024-10. DOI: 10.1016/j.kjs.2024.100273.
- Khan MS, Ali A, Suhail M, Kibria BMG. On some two parameter estimators for the linear regression models with correlated predictors: simulation and application. Communications in Statistics – Simulation and Computation 2024-07-02. DOI: 10.1080/03610918.2024.2369809.
- Khan MS, Ali A, Suhail M, Awwad AA, Ismail AAE, Ahmad H. On the performance of two-parameter ridge estimators for handling multicollinearity problem in linear regression: simulation and application. AIP Advances 2023-11-01. DOI: 10.1063/5.0175494
