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