Areas of interest
- Gini coefficient
- Time series analysis
- Multivariate statistics
Teaching
In current lective year:- Compliance & Testing Assumptions
- Linear Regression,Difference Analysis & Planning Experi
- Introduction to Probability
Amit Shelef is a researcher and lecturer at Sapir Academic College in Israel.
She completed her PhD in Industrial Engineering and Management at Ben-Gurion University of the Negev in 2014.
Her main research interest is applying the Gini’s Mean Difference (GMD) as a measure of dispersion in statistical analysis of time series models and in other areas of research.
Her work has been published in the journals: Statistical Papers, Computational Statistics & Data Analysis and Econometric Theory.
My research is devoted to develop new models and tools that would allow researchers and practitioners to analyze data in various areas via statistical tools and tests. Specifically, in the field of time series analysis I intend to develop a Gini-based cointegration test and Gini-based Spectral analysis.
1. Schechtman, E., Shelef, A., Yitzhaki, S. and Zitikis, R. (2008), Testing Hypotheses About Absolute Concentration Curves and Marginal Conditional Stochastic Dominance, Econometric Theory, Volume 24, Pages 1044-1062, DOI:10.1017/S0266466608080407 (Online).
2. Shelef, A. (2016), A Gini-based unit root test, Computational Statistics & Data Analysis, Volume 100, Pages 763-772, DOI: 10.1016/j.csda.2014.08.012, https://doi.org/10.1016/j.csda.2014.08.012.
3. Schechtman, E. and Shelef, A. (2018), Correlation and the time interval over which the variables are measured – a non-parametric approach, PLoS ONE 13(11): e0206929. https://doi.org/10.1371/journal.pone.0206929.
4. Shelef, A. and Schechtman, E. (2019), A Gini-based time series analysis and test for reversibility, Statistical Papers, Volume 60 (3), Pages 687-716, DOI: 10.1007/s00362-016-0845-9, https://doi.org/10.1007/s00362-016-0845-9.
5. Naveh, G. and Shelef, A. (2021), Analyzing attitudes of students toward the use of technology for learning: Simplicity is the key to successful implementation in higher education, International Journal of Educational Management, Volume 35 (2), Pages 382-393, https://doi.org/10.1108/IJEM-04-2020-0204.
6. Shelef, A., Musicant, O. and Botzer, A., Mama, Y. (2021), The effectiveness of “Soft-blocking” for reducing clicking on-screen while driving, Transportation Research Part F: Traffic Psychology and Behaviour, Volume 81, Pages 306-316, https://doi.org/10.1016/j.trf.2021.06.003.
7. Nisani, D. and Shelef, A. (2021), A statistical analysis of investor preferences for portfolio selection, Empirical Economics, Volume 61, Pages 1883-1915, https://doi.org/10.1007/s00181-020-01947-8.
8. Nisani, D., Qadan, M. and Shelef, A. (2022), Risk and Uncertainty at the Outbreak of the COVID-19 Pandemic, Sustainability 14, 8527, Pages 1-12, https://doi.org/10.3390/su14148527.
9. Naveh, G. and Shelef, A. (2022), Learning management system success: The role of student experience explored, International Journal of Learning Technology, Volume 17 (2), Pages 154-171, http://dx.doi.org/10.1504/IJLT.2022.10049984
10. Naveh, G., Bakun-Mazor, D., Tavor, D. and Shelef, A. (2022), Problem-based learning in a theoretical course in civil engineering: Students’ perspectives, Advances in Engineering Education, Volume 10 (3), Pages 46-67 , DOI: 10.18260/3-1-1153-36033
11. Naveh, G. and Shelef, A., (2022), Lecture Recording Success in Academic Face-to-Face Teaching, Educational Media International, Volume 59:3, Pages 230-243, DOI: 10.1080/09523987.2022.2136080
12. Nisani, D., Shelef, A. and David, O. (2023), Putting the Aumann–Serrano Riskiness Index to work, Review of Accounting and Finance, Vol. 22:1, Pages 84-122, https://doi.org/10.1108/RAF-04-2022-0134
13. Nisani, D., Shelef, A., Sonenshine, R. and David, O. (2024), The mutual funds puzzle and the elusive von Neumann-Morgenstern preference relation, International Review of Financial Analysis, Vol. 92, https://doi.org/10.1016/j.irfa.2024.103099