The power comparisonoutcomes also showed that the proposed test is more powerful than the other tests.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:In this study, a distribution free new statistic is introduced to test the equality of locationsagainst the umbrella alternative hypotheses.
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Temel Bulgular & Veri:Using acomprehensive simulation design, the proposed test was compared with theHettmansperger and Norton and, Mack-Wolfe tests according to the criteria of the powerand type I error rate of the test.
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Sonuç & Katkı:The power comparisonoutcomes also showed that the proposed test is more powerful than the other tests.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri
Abstract
In this study, a distribution free new statistic is introduced to test the equality of locationsagainst the umbrella alternative hypotheses. The Shan test known for the orderedalternatives hypotheses is arranged for the umbrella alternative hypotheses. This statisticcan be considered as an extension of the sign and Mann-Whitney statistics. Using acomprehensive simulation design, the proposed test was compared with theHettmansperger and Norton and, Mack-Wolfe tests according to the criteria of the powerand type I error rate of the test. In the simulation outcomes, it was seen that the robustnesscondition for Bradley's type I error rate were ensured for all tests. The power comparisonoutcomes also showed that the proposed test is more powerful than the other tests.
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Bu Makaleye Atıf Yap
ALTUNKAYNAK, B., GAMGAM, H., BAGCACI, M. (2022). A New Nonparametric Test for Testing Equality of Locations Against Umbrella Alternatives. Gazi University Journal of Science, Cilt: 33 - Sayı: 3, 815–829. https://ajindex.com/articles/521304
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