A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Modeling random and non-random decision uncertainty in ratings data: a fuzzy beta model
2021
AStA Advances in Statistical Analysis
AbstractModeling human ratings data subject to raters' decision uncertainty is an attractive problem in applied statistics. In view of the complex interplay between emotion and decision making in rating processes, final raters' choices seldom reflect the true underlying raters' responses. Rather, they are imprecisely observed in the sense that they are subject to a non-random component of uncertainty, namely the decision uncertainty. The purpose of this article is to illustrate a statistical
doi:10.1007/s10182-021-00407-7
fatcat:3geyg3gfqzfphkrpgb4tqvwegy