Dr. Dániel Kehl
Dániel Kehl graduated in 2005 from the University of Pécs, Faculty of Business and Economics where he earned his PhD in 2012 and habilitation in 2022. He is an associate professor of the Department of Economics and Econometrics and is responsible for the course ’Probability and Statistics’ in both Hungarian and English at the bachelor level. At the doctoral level he teaches data related courses. He is a contributor to a wide range of academic and business research projects. His main interests are applied statistics, data cleansing, data processing, pattern identification, truncation bias and data visualisation. He is also an R enthusiast, and an active member of the Hungarian R community.
Gyimesi, A; Kehl, D | 2023 |
Relative age effect on the market value of elite European football players: a balanced sample approach
European Sport Management Quarterly
Voros, Z; Kehl, D; Rouet, J-F | 2021 |
Task Characteristics as Source of Difficulty and Moderators of the Effect of Time-on-Task in Digital Problem-Solving
Journal of Educational Computing Research
Voros, Z; Szabo, Z; Kehl, D; Kovacs, O; Papp, T; Schepp, Z | 2021 |
The forms of financial literacy overconfidence and their role in financial well-being
International Journal of Consumer Studies