| Autor: |
Grzegorzewski Przemysław, Romaniuk Maciej |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
International Journal of Applied Mathematics and Computer Science, Vol 34, Iss 2, Pp 277-289 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2083-8492 |
| DOI: |
10.61822/amcs-2024-0020 |
| Popis: |
Epistemic bootstrap is a resampling algorithm that generates bootstrap real-valued samples based on some epistemic fuzzy data input. We apply this method as a universal basis for various statistical tests which can be then directly used for fuzzy random variables. Two classical goodness-of-fit tests are considered as an example to examine the suggested methodology for both synthetic and real data. The proposed approach is also compared with two other goodness-of-fit tests dedicated directly to fuzzy data. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
