Dergiler / Gazi University Journal of Science / 2014 / Cilt: 27 - Sayı: 1

A Comparative Study

Permutation Test Approach for Ordered Alternatives in Randomized Complete Block Design: A Comparative Study

Sayfa
645–651
Yayın Tarihi
2014-03-28
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

We compare the performance of these tests in terms of the empirical type I error rates and powers of tests.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Randomized complete block design is one of the most used experimental designs in statistical analysis.
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Temel Bulgular & Veri:For testing ordered alternatives in randomized complete block design, parametric tests are used if random sample are drawn from Normal distribution.
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Sonuç & Katkı:We compare the performance of these tests in terms of the empirical type I error rates and powers of tests.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Permutation test · Page test · Hollander test

Abstract

Randomized complete block design is one of the most used experimental designs in statistical analysis. For testing ordered alternatives in randomized complete block design, parametric tests are used if random sample are drawn from Normal distribution. If normality assumption is not provide, nonparametric methods are used. In this study, we are interested nonparametric tests and we introduce briefly the nonparametric tests, such as Page, Modified Page and Hollander tests. We also give Permutation Version of Page test. We compare the performance of these tests in terms of the empirical type I error rates and powers of tests.

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Bu Makaleye Atıf Yap

GOKPINAR, E., GUL, H., GOKPINAR, F., BAYRAK, H., OZONUR, D. (2014). A Comparative Study. Gazi University Journal of Science, Cilt: 27 - Sayı: 1, 645–651. https://ajindex.com/articles/255287

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Kaynakça (10)

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  9. Best, D.J., Brockhoff, P.B., Rayner, J.C.W., “Tests for balanced incomplete block ranked data with ties”, Statistica Nerlandica, 60(1): 3-11 (2006).
  10. Hollander, M., Wolfe, D.A., “Nonparametric Statistical Methods”, 2nd ed., Wiley (1999).