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Derrac, J., et al. (2011) A Practical Tutorial on the Use of Nonparametric Statistical Tests as a Methodology for Comparing Evolutionary and Swarm Intelligence Algorithms. Swarm and Evolutionary Computation, 1, 3-18.
https://doi.org/10.1016/j.swevo.2011.02.002

has been cited by the following article:

• TITLE: The Monte Carlo Simulation and Non-Parametric Tests Application on Chemical Data

  AUTHORS: H. Alshammari, A. Algammidi, Ahmed Algammidi

  KEYWORDS: Kruskal-Wall, Monte Carlo Calculations

  JOURNAL NAME: Natural Science, Vol.9 No.12, December 29, 2017

  ABSTRACT: This work addressed the application of Monte-Carlo (MC) simulation on obtained chemical data previous published in one of authors’ paper. The chemical data were subjected into MC simulation. Also, Kruskal-Wall test was performed to enhance our hypothesis of difference among the reported data. Moreover, Nonparametric Runs Test was calculated to get bigger vision of the hypothesis. The chemical data tested in this study showed significant difference when using MC simulation.