2017
DOI: 10.1007/978-3-319-66824-6_17
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The Mann-Whitney Test for Interval-Valued Data

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Cited by 5 publications
(6 citation statements)
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“…It was beneficial to use this approach because of the characteristics of the sample and its small size, when having to compare more than three groups [107][108][109]. For similar reasons, for comparing two independent groups, the U Mann-Whitney test is recommended [110]. Therefore, it was implemented to compare the assessments of interviewees of different genders, public vs. private stakeholders, and business vs. nonbusiness stakeholders.…”
Section: Phase Iii-data Analysismentioning
confidence: 99%
“…It was beneficial to use this approach because of the characteristics of the sample and its small size, when having to compare more than three groups [107][108][109]. For similar reasons, for comparing two independent groups, the U Mann-Whitney test is recommended [110]. Therefore, it was implemented to compare the assessments of interviewees of different genders, public vs. private stakeholders, and business vs. nonbusiness stakeholders.…”
Section: Phase Iii-data Analysismentioning
confidence: 99%
“…Thus, by the appropriate transformation of the original interval-valued observations into the one-dimensional problem the test statistic (30) behaves as the test statistic of the classical sign test, so the rejection criteria remain as it is described in Section 2.1.…”
Section: The Sign Test For Random Intervals 521 | One-sample Casementioning
confidence: 99%
“…Indeed, testing assumptions on distributions may cause difficulties even in the case of crisp data, and known goodness‐of‐fit techniques for interval‐valued data are not very powerful. This is also the reason that nonparametric tests seem to be attractive to the authors who generalize classical statistical tools for interval‐valued data …”
Section: Introductionmentioning
confidence: 99%
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