Selected article for: "Kruskal Wallis non parametric test and non parametric test"

Author: Marianna Milano; Mario Cannataro
Title: Statistical and network-based analysis of Italian COVID-19 data: communities detection and temporal evolution
  • Document date: 2020_4_22
  • ID: 6n88mcbf_26
    Snippet: Results show that according the type of data, a significant difference exists (p-value less than 0.05) among some regions while for others it is Finally, we used Kruskal-Wallis test performing an analysis on the same type of data for all regions (i.e. carrying out multiple comparisons) for the observation period and then, for each single week. Kruskal-Wallis test is a non-parametric method for analysis of variance used to determine if more sample.....
    Document: Results show that according the type of data, a significant difference exists (p-value less than 0.05) among some regions while for others it is Finally, we used Kruskal-Wallis test performing an analysis on the same type of data for all regions (i.e. carrying out multiple comparisons) for the observation period and then, for each single week. Kruskal-Wallis test is a non-parametric method for analysis of variance used to determine if more samples originate from the same distribution. The results confirmed a significant difference considering all regions on the same type of data for the observation period for each single week.

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