Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8899991 | Journal of Mathematical Analysis and Applications | 2018 | 17 Pages |
Abstract
Recently a new type of central limit theorem for belief functions was given in Epstein et al. [9]. In this paper, we generalize the central limit theorem in Epstein et al. [9] to accommodate general bounded random variables. These results are a natural extension of the classical central limit theory for additive probability measures.
Related Topics
Physical Sciences and Engineering
Mathematics
Analysis
Authors
Xiaomin Shi,