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• W2886957653 abstract "This paper deals with the problem of testing statisticalhypotheses when the available data are fuzzy. In this approach, wefirst obtain a fuzzy test statistic based on fuzzy data, and then,based on a new signed distance between fuzzy numbers, we introducea new decision rule to accept/reject the hypothesis of interest.The proposed approach is investigated for two cases: the casewithout nuisance parameters and the case with nuisance parameters.This method is employed to test the hypotheses for the mean of anormal distribution with known/unknown variance, the variance of anormal distribution, the difference of means of two normaldistributions with known/unknown variances, and the ratio ofvariances of two normal distributions." @default.
• W2886957653 created "2018-08-22" @default.
• W2886957653 creator A5045750597 @default.
• W2886957653 date "2018-06-30" @default.
• W2886957653 modified "2023-09-25" @default.
• W2886957653 title "TESTING STATISTICAL HYPOTHESES UNDER FUZZY DATA AND BASED ON A NEW SIGNED DISTANCE" @default.
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• W2886957653 doi "https://doi.org/10.22111/ijfs.2018.3955" @default.
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