- Tytuł:
- Bootstrap methods for epistemic fuzzy data
- Autorzy:
-
Grzegorzewski, Przemyslaw
Romaniuk, Maciej - Powiązania:
- https://bibliotekanauki.pl/articles/2134054.pdf
- Data publikacji:
- 2022
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
bootstrap method
fuzzy data
fuzzy numbers
hypotheses testing
metoda bootstrap
dane rozmyte
testowanie hipotez - Opis:
- Fuzzy numbers are often used for modeling imprecise perceptions of the real-valued observations. Such epistemic fuzzy data may cause problems in statistical reasoning and data analysis. We propose a universal nonparametric technique, called the epistemic bootstrap, which could be helpful when the existing methods do not work or do not give satisfactory results. Besides the simple epistemic bootstrap, we develop its several refinements that aim to reduce the variance in statistical inference. We also perform an extended simulation study to examine statistical properties of the approaches considered. The discussion of the results is supplemented by some hints for practical use.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2022, 32, 2; 285--297
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł