Use of Non-Parametric Approaches on Normality of Hydrologic Variables

Authors

  • Kadri Yürekli Department of Biosystem Engineering, Faculty of Agriculture, Gaziosmanpasa University, 60240 Tokat
  • Müberra Erdoğan Department of Biosystem Engineering, Faculty of Agriculture, Gaziosmanpasa University, 60240 Tokat
  • Mehmet Murat Cömert Department of Biosystem Engineering, Faculty of Agriculture, Gaziosmanpasa University, 60240 Tokat

DOI:

https://doi.org/10.24925/turjaf.v6i8.1030-1034.1927

Keywords:

Normality, Yesilirmak basin, Streamflow, Seasonal streamflow, Kolmogorov–Smirnov

Abstract

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.

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Published

20.08.2018

How to Cite

Yürekli, K., Erdoğan, M., & Cömert, M. M. (2018). Use of Non-Parametric Approaches on Normality of Hydrologic Variables. Turkish Journal of Agriculture - Food Science and Technology, 6(8), 1030–1034. https://doi.org/10.24925/turjaf.v6i8.1030-1034.1927

Issue

Section

Research Paper