TY  - RPRT
U1  - Arbeitspapier
A1  - Martignon, Laura
A1  - Laskey, Kathyn
T1  - Statistical literacy for classification under risk: an educational perspective
N2  - After a brief description of the four components of risk literacy and the tools for analyzing risky situations, decision strategies are introduced, These rules, which satisfy tenets of Bounded Rationality, are called fast and frugal trees. Fast and frugal trees serve as efficient heuristics for decision under risk. We describe the construction of fast and frugal trees and compare their robustness for prediction under risk with that of Bayesian networks. In particular, we analyze situations of risky decisions in the medical domain. We show that the performance of fast and frugal trees does not fall too far behind that of the more complex Bayesian networks.
KW  - Statistisches Wissen
KW  - Risikoverhalten
KW  - Statistical Literacy, risk literacy, Components, Uncertainty, Decision trees
Y1  - 2019
U6  - https://doi.org/10.1007/s11943-019-00259-3
DO  - https://doi.org/10.1007/s11943-019-00259-3
N1  - Volltext ist unter angegebener DOI abrufbar.
IS  - AStA Wirtschafts- und Sozialstatistisches Archiv 13 (2019)
SP  - 269
EP  - 278
PB  - Springer Link
ER  -