Uncertain hypothesis test for uncertain differential equations
Fuzzy Optimization and Decision Making
; 22(2):195-211, 2023.
Article
Dans Anglais
| ProQuest Central | ID: covidwho-2320665
ABSTRACT
Uncertain hypothesis test is a statistical tool that uses uncertainty theory to determine whether some hypotheses are correct or not based on observed data. As an application of uncertain hypothesis test, this paper proposes a method to test whether an uncertain differential equation fits the observed data or not. In order to demonstrate the test method, some numerical examples are provided. Finally, both uncertain currency model and stochastic currency model are used to model US Dollar to Chinese Yuan (USD–CNY) exchange rates. As a result, it is shown that the uncertain currency model fits the exchange rates well, but the stochastic currency model does not.
Computers--Artificial Intelligence; Uncertainty theory; Uncertain statistics; Uncertain hypothesis test; Uncertain differential equation; Uncertain currency model; Hypotheses; Differential equations; Growth models; Regression analysis; Random variables; Software reliability; Time series; Foreign exchange rates; Coronaviruses; Test methods; COVID-19; Parameter estimation
Texte intégral:
Disponible
Collection:
Bases de données des oragnisations internationales
Base de données:
ProQuest Central
langue:
Anglais
Revue:
Fuzzy Optimization and Decision Making
Année:
2023
Type de document:
Article
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