Ms. Anamika Kumari

Course Coordinator - Data Science

CURRENT ACADEMIC ROLE & RESPONSIBILITIES

    Ms. Anamika Kumari is a Course Coordinator for Directorate of Online Education, MAHE, 沙巴体育. She has over 3 years of 沙巴体育 and 1 month of Academic work experience in data science and business analytics program and taught more than 3 subjects in the area of data science and business analytics.

    • Course Coordinator since 2024
    • Online Teaching & Content Development ?
    • Coordination with campus faculty members
    • Monitoring the quality of webinars
    • Creation of assignment/question papers/banks and learner assessment, handling student queries (LMS/Email), project mentoring & evaluation/ Valuation of ETE papers
    • 沙巴体育 in domain of expertise, research papers in conferences/indexed journals

SUBJECTS CURRENTLY TEACHING

Subject Semester / Year
Probability and Probability Distribution I TERM
沙巴体育 Methodology III TERM
Probability and Statistical Inference IV TERM

ACADEMIC QUALIFICATIONS

Degree Specialisation Institute Year of passing
Master of Science Statistics Banaras Hindu University 2020
Bachelor of Science Statistics Banaras Hindu University 2018

Experience

Institution / Organisation Designation Role Tenure
Directorate of Online Education Course Coordinator Since September 2024
Banaras Hindu University 沙巴体育 Scholar 3 years

AREAS OF INTEREST, EXPERTISE AND RESEARCH

Area of Interest

Statistics

Area of Expertise

Sampling Survey, Econometrics, Probability, Inference, 沙巴体育 Methodology, Quality Control, Demography, Demand Analysis

Area of 沙巴体育

Statistics- Sampling Survey

SCI + Scopus indexed
1. Ahmadini, A.A.H., Singh, R., Raghav, Y.S., & Kumari, A. (2024). Estimation of population mean using ranked set sampling in the presence of measurement errors. Kuwait Journal of Science, 51(3).
2. Kumari, A., Singh, R., & Smarandache, F. (2024). New Modification of Ranked Set Sampling for Estimating Population Mean: Neutrosophic Median Ranked Set Sampling with an Application to Demographic Data. 沙巴体育 Journal of Computational Intelligence Systems, 17(1).
3. Singh, R., Saroj, C. & Kumari, A. (2024). Understanding Stunting and its determinant among children in the most populous state of India using Estimation of Population Mean under Ranked Set Sampling in the presence of missing data. Mathematical Population Studies.

Scopus indexed
4. Singh, R. & Kumari, A. (2024). Neutrosophic Ranked Set Sampling for Estimating Population Mean: An Application to Demographic Data. Neutrosophic Sets and Systems, 68, 246-270.
5. Singh, R. & Kumari, A. (2024). Preliminary Estimators of Population Mean using Ranked Set Sampling in the Presence of Measurement Error and Non-Response Error with Applications and Simulation Study. Brazilian Journal of Biometrics, 42 (3).
6. Singh, R. & Kumari, A. (2023). Some Improved Combined Estimators of Population Mean in Stratified Ranked Set Sampling. Revista Colombiana de Estadística, 46 (2), 1-18.
7. Singh, R. & Kumari, A. (2023). Improved Estimators of Population Mean Using Auxiliary Variables in Ranked Set Sampling. Revista Investigacion Operacional, 44 (2), 271-280.
8. Singh, R. & Kumari, A. (2024). Some Improved Separate Estimators of Population Mean in Stratified Ranked Set Sampling. Statistics and Applications, 22 (1), 21-37.

Peer reviewed
9. Singh, R., & Kumari, A. (2023). Ranked Set Sampling versus Simple Random Sampling in the estimation of the Ratio Estimators. Journal of Statistics Applications & Probability Letters, 10 (2), 95-111.
10. Singh, R. & Kumari, A. (2023). Generalized Class of Some Novel Estimators under Ranked Set Sampling. Journal of the Indian Society of Agricultural Statistics, 77 (1), 45-53.
11. Kumari, A., Kumar, U. & Singh, R. (2023). Improved Estimators of Population Mean using Auxiliary Variables in Post-Stratification. Journal of Scientific 沙巴体育, 67 (1), 1-18.
12. Kumari, A., & Singh, R. (2022). Improved Estimators of Population Coefficient of Variation under Simple Random Sampling. Asian Journal of Probability and Statistics, 19 (4), 22-36.
13. Singh, R., Mishra, R., Kumari, A. & Yadav, S.K. (2024). Almost Unbiased Estimators for Population Coefficient of Variation Using Auxiliary Information. Asian Journal of Probability and Statistics, 26 (5), 1-18.