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Information Journal Paper

Title

TESTING STATISTICAL HYPOTHESES UNDER FUZZY DATA AND BASED ON A NEW SIGNED DISTANCE

Author(s)

AREFI M. | Issue Writer Certificate 

Pages

  153-176

Abstract

 This paper deals with the problem of testing statistical hypotheses when the available data are fuzzy. In this approach, we first obtain a FUZZY TEST STATISTIC based on FUZZY DATA, and then, based on a new SIGNED DISTANCE between fuzzy numbers, we introduce a new decision rule to accept/reject the hypothesis of interest. The proposed approach is investigated for two cases: the case without nuisance parameters and the case with nuisance parameters. This method is employed to test the hypotheses for the mean of a normal distribution with known/unknown variance, the variance of a normal distribution, the difference of means of two normal distributions with known/unknown variances, and the ratio of variances of two normal distributions.

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    APA: Copy

    AREFI, M.. (2018). TESTING STATISTICAL HYPOTHESES UNDER FUZZY DATA AND BASED ON A NEW SIGNED DISTANCE. IRANIAN JOURNAL OF FUZZY SYSTEMS, 15(3 ), 153-176. SID. https://sid.ir/paper/113252/en

    Vancouver: Copy

    AREFI M.. TESTING STATISTICAL HYPOTHESES UNDER FUZZY DATA AND BASED ON A NEW SIGNED DISTANCE. IRANIAN JOURNAL OF FUZZY SYSTEMS[Internet]. 2018;15(3 ):153-176. Available from: https://sid.ir/paper/113252/en

    IEEE: Copy

    M. AREFI, “TESTING STATISTICAL HYPOTHESES UNDER FUZZY DATA AND BASED ON A NEW SIGNED DISTANCE,” IRANIAN JOURNAL OF FUZZY SYSTEMS, vol. 15, no. 3 , pp. 153–176, 2018, [Online]. Available: https://sid.ir/paper/113252/en

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