Dr. Rizwan Yousuf, CHANDIGARH UNIVERSITY MOHALI PUNJAB INDIA, India
Dr. Rizwan Yousuf, a Ph.D. holder in Statistics, boasts expertise in statistical modeling, analysis, and regression techniques 📊. With a robust academic background from Sher-e-Kashmir University and University of Kashmir, he has delved into diverse statistical realms, including bio statistics and multivariate analysis 🧮. Driven by a passion for research, he has investigated structural properties and estimation techniques in his dissertations. Formerly a Field Investigator, he now imparts knowledge as an Assistant Professor at Chandigarh University, bringing his extensive experience to the forefront of academia 🎓
Working Experience
Dr. Rizwan Yousuf embarked on his professional journey as a Field Investigator, traversing through the intricacies of data collection and analysis at Degree College Beerwah Budgam Kashmir from September 2022 to March 2023 📋. Transitioning seamlessly, he currently serves as an Assistant Professor of Mathematics at Chandigarh University since May 2023, contributing his statistical expertise to academia 🎓. His experiences span from fieldwork to classroom instruction, enriching his understanding of statistical methodologies and their practical applications. With a dedication to fostering knowledge and research, Dr. Yousuf continues to inspire and guide students in their academic pursuits.
Research Focus
Dr. Rizwan Yousuf’s research primarily focuses on statistical modeling and analysis 📊, with a particular emphasis on robust regression techniques. His work encompasses a wide range of applications, including the assessment of stress levels and coping mechanisms among married working women, economic ramifications of the COVID-19 pandemic, and modeling production functions in agricultural contexts. Dr. Yousuf’s expertise extends to outlier detection, estimation of productivity, and exploring novel regression estimators. Through his diverse research endeavors, he contributes significantly to advancing statistical methodologies and their practical implications across various domains.
Publication Top NotesÂ
- Assess the level of stress and coping level among married working women in Kashmir 📄 Cited by: 6 Year: 2022
- Unexpected Ramifications of Corona Pandemic Economic and Statistical Issues📄 Cited by: 6 Year: 2020
- Robust Model for the Quadratic Production Function in Presence of High Leverage Points📄 Cited by: 4 Year: 2021
- Modified Ratio-cum-Exponential Estimator for Appraising the Population Mean using Conventional and non-Conventional Parameters📄 Cited by: 3 Year: 2022
- ROBUST MODELS AND THEIR VALIDATION FOR MAIZE PRODUCTION IN JAMMU REGION OF JAMMU AND KASHMIR UNION TERRITORY 📄 Cited by: 1 Year: 2021
- Applications of Mitscherlich Baule function: a robust regression approach 📄 Year: 2024
- Detection of High Leverage Points in Regression Model in Apple Data 📄 Year: 2022
- Outlier Detection and Identification in Square root Production Function using Robust Regression 📄 Year: 2022
- Estimation and Validation of Robust Model for Productivity of Apple in UT of J&K using Cobb Douglas Method 📄 Year: 2021
- A New form of Ratio Estimator under Rank set Sampling📄 Year: 2021