Bayesian fuzzy hypothesis testing with imprecise prior distribution
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نویسنده
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hesamian g.
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منبع
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journal of the iranian statistical society - 2016 - دوره : 15 - شماره : 2 - صفحه:105 -119
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چکیده
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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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کلیدواژه
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Bayes test; Fuzzy hypothesis; Fuzzy parameter; Interval parameter; Posterior probability
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آدرس
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department of statistics,payame noor university,tehran, ایران
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