Department of Statistics, Payame Noor University, Tehran 19395-3697, Iran
10.18869/acadpub.jirss.15.2.105
Abstract
This paper considers the testing of fuzzy hypotheses on the basis of a Bayesian approach. For this, using a notion of prior distribution with interval or fuzzy-valued parameters, we extend a concept of posterior probability of a fuzzy hypothesis. Some of its properties are also put into investigation. The feasibility and effectiveness of the proposed methods are also clarified by some numerical examples.
Hesamian,G. (2022). Bayesian Fuzzy Hypothesis Testing with Imprecise Prior Distribution. Journal of the Iranian Statistical Society, 15(2), 105-119. doi: 10.18869/acadpub.jirss.15.2.105
MLA
Hesamian,G. . "Bayesian Fuzzy Hypothesis Testing with Imprecise Prior Distribution", Journal of the Iranian Statistical Society, 15, 2, 2022, 105-119. doi: 10.18869/acadpub.jirss.15.2.105
HARVARD
Hesamian G. (2022). 'Bayesian Fuzzy Hypothesis Testing with Imprecise Prior Distribution', Journal of the Iranian Statistical Society, 15(2), pp. 105-119. doi: 10.18869/acadpub.jirss.15.2.105
CHICAGO
G. Hesamian, "Bayesian Fuzzy Hypothesis Testing with Imprecise Prior Distribution," Journal of the Iranian Statistical Society, 15 2 (2022): 105-119, doi: 10.18869/acadpub.jirss.15.2.105
VANCOUVER
Hesamian G. Bayesian Fuzzy Hypothesis Testing with Imprecise Prior Distribution. JIRSS, 2022; 15(2): 105-119. doi: 10.18869/acadpub.jirss.15.2.105
Journal of the Iranian Statistical Society