Staff Members

Home » Dr. Vaughan van Appel

Senior Lecturer
Name: Vaughan van Appel
Location: C-Ring 534 Auckland Park Kingsway Campus
Department of Statistics Staff  Staff Members

Contact Details:
Tel: +27 (0) 11 559 2861

Email: vvanappel@uj.ac.za

About Dr. Vaughan van Appel

Research Interests

Dr Vaughan van Appel’s current research interest focusses on stochastic processes and the applications thereof in actuarial science and finance. He further collaborates on many interdisciplinary projects where he provides statistical consultations and analysis. In addition to his own research, he supervises Masters and Doctoral students, in various fields of statistics, within the Department.

Recent Publications

1. Van Appel, V., Pretorius E., and Durandt, R. (2024) Predictive models, as an idea, to advance the secondary to tertiary transition in science courses. EURASIA Journal of Mathematics, Science and Technology Education, 20(9), em2502. https://doi.org/10.29333/ejmste/15024

2. Van Appel, V., Maré, E. (2022) Determining safe retirement withdrawal rates using forward-looking distributions. S Afr J Sci., 118(3/4). https://doi.org/10.17159/sajs.2022/11933

3. Van Appel, V., Maré, E., and Van Niekerk, A. (2021) Quantitative guidelines for retiring (more safely) in South Africa. South African Actuarial Journal, 21: 75-91. https://dx.doi.org/10.4314/saaj.v21i1.4

4. Van Appel, V., and Maré, E. (2020). The recovery theorem with application to risk management. South African Statistical Journal, 54(1): 65-91. https://doi.org/10.37920/sasj.2020.54.1.5

5. Van Appel and Maré (2020). Die herwinningstelling met toepassing op risikobestuur. Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie, 39(1): 133. https://doi.org/10.36303/SATNT.2020.39.1.830

6. Van Appel, V., and Durandt, R. (2019). Investigating possibilities of models to identify at-risk students in the South African higher education context. Perspectives in Education, 37(1): 1-15. https://doi.org/10.18820/2519593X/pie.v37i2.1

7. Van Appel, V., and Durandt, R. (2019). Assessment of tertiary students’ learning of statistical modelling. Proceedings: Towards Effective Teaching and Meaningful Learning in Mathematics, Science and Technology Education, (pp. 129-135). 21-25 October 2019, Skukuza Camp, Kruger National Park, South Africa.

8. Van Appel, V., and Durandt, R. (2018). Dissimilarities in Attitudes between Students in Service and Mainstream Courses towards Statistics: An Analysis Conducted in a Developing Country. Eurasia Journal of Mathematics, Science and Technology Education, 14(8), em1565. https://doi.org/10.29333/ejmste/91912

9. Van Appel, V., and Maré, E. (2018). The Ross recovery theorem with a regularised multivariate Markov chain. ORiON, 34(2): 133-155. https://doi.org/10.5784/34-2-594

10. Van Appel, V., and Durandt, R. (2018). Identifying at-risk students in a statistics course through a mathematical model. Proceedings: Towards Effective Teaching and Meaningful Learning in Mathematics, Science and Technology Education, (pp. 132-139). 22-25 October 2018, Skukuza Camp, Kruger National Park, South Africa.

11. Van Appel, V., and Durandt, R. (2017). Investigating the attitudinal differences of students in service and mainstream courses towards statistics. Proceedings: Towards Effective Teaching and Meaningful Learning in Mathematics, Science and Technology Education, (pp. 199-205). 23-26 October 2017, Mopani Camp, Kruger National Park, South Africa.

External Links

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