Use of Non-Parametric Approaches on Normality of Hydrologic Variables
Yazarlar (3)
Prof. Dr. Kadri YÜREKLİ Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Dr. Öğr. Üyesi Müberra ERDOĞAN KARAAĞAÇLI Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Dr. Öğr. Üyesi Mehmet Murat CÖMERT Tokat Gaziosmanpaşa Üniversitesi, Türkiye
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Özgün Makale
(Diğer hakemli uluslarası dergilerde yayınlanan tam makale)
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| Dergi Adı | Turkish Journal of Agriculture - Food Science and Technology | ||
| Dergi ISSN | 2148-127X | ||
| Dergi Tarandığı Indeksler | TR DİZİN | ||
| Makale Dili | İngilizce | Basım Tarihi | 05-2018 |
| Cilt / Sayı / Sayfa | 6 / 8 / 1030–1304 | DOI | – |
| UAK Araştırma Alanları |
Sulama Sistemleri
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| Özet |
| Parametric approaches in statistical analysis assume that any given data are normally distributed. Therefore, the test of whether this conventional assumption is valid should be made in this context of the available data‘s normality before being passed to the application of statistical tests. The paper is focused on the normality methodologies commonly used in literature, named Kolmogorov-Smirnov, Jarque-Bera, D ‘agostino, Anderson Darling, Shapiro-Wilk and Ryan Joiner. In the study, the seasonal maximum data from eight streamflow gauging stations in Yesilirmak Basin was used as material. The normality in the 59% of the whole data sets were obtained as the highest result by the Kolmogorov–Smirnov approach, when compared to the other normality tests considered in the study. |
| Anahtar Kelimeler |
