Use of Non-Parametric Approaches on Normality of Hydrologic Variables
Yazarlar (3)
Prof. Dr. Kadri YÜREKLİ
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Dr. Öğr. Üyesi Mehmet Murat CÖMERT
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
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| Makale Alt Türü | Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale |
| Dergi Adı | Türk Tarım - Gıda Bilim ve Teknoloji dergisi |
| Dergi ISSN | 2148-127X |
| Dergi Tarandığı Indeksler | Directory of Open Acsess Journal |
| Makale Dili | İngilizce |
| Basım Tarihi | 08-2018 |
| Cilt No | 6 |
| Sayı | 8 |
| Sayfalar | 1030 / 1034 |
| DOI Numarası | 10.24925/turjaf.v6i8.1030-1034.1927 |
| Özet |
| Parametric approaches in statistical analysis assume that any given data are normallydistributed. Therefore, the test of whether this conventional assumption is valid should bemade in this context of the available data’s normality before being passed to theapplication of statistical tests. The paper is focused on the normality methodologiescommonly used in literature, named Kolmogorov-Smirnov, Jarque-Bera, D’agostino,Anderson Darling, Shapiro-Wilk and Ryan Joiner. In the study, the seasonal maximumdata 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 theKolmogorov –Smirnov approach, when compared to the other normality tests consideredin the study |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları |