不精确先验分布的贝叶斯模糊假设检验

IF 0.1 Q4 STATISTICS & PROBABILITY

JIRSS-Journal of the Iranian Statistical Society Pub Date : 2016-08-25 DOI:10.18869/ACADPUB.JIRSS.15.2.105

G. Hesamian

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引用次数: 4

摘要

本文考虑了检验模糊假设的经典(正态)贝叶斯方法。为此，利用具有区间值或模糊值参数的先验分布的概念，提出了模糊假设的后验概率的概念，并验证了其主要性质。通过算例验证了所提方法的可行性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Bayesian Fuzzy Hypothesis Testing with Imprecise Prior Distribution

This paper considers the classical (normal) Bayesian method for testing fuzzy hypotheses. For this purpose, using a notion of prior distribution with interval-valued or fuzzy-valued parameters, a concept of posterior probability of a fuzzy hypothesis is proposed and its main properties are also verified. The feasibility and effectiveness of the proposed methods are also clarified by some numerical examples.

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来源期刊

JIRSS-Journal of the Iranian Statistical Society STATISTICS & PROBABILITY-

CiteScore

1.50

自引率

0.00%

发文量