A comparison of nonparametric statistics and bootstrap methods for testing two independent populations with unequal variance

HIGHLIGHTS

  • who: Int. J. Anal. Appl. and collaborators from the Department of Statistics, Faculty of Science, Kasetsart University, Bangkok, Thailand have published the Article: A Comparison of Nonparametric Statistics and Bootstrap Methods for Testing Two Independent Populations with Unequal Variance, in the Journal: (JOURNAL)
  • what: The aim of this study was to apply the bootstrap method together with nonparametric statistics and compare the efficiency of nonparametric tests and bootstraps methods when pooled with nonparametric tests for testing the mean difference between two independent populations with unequal variance.
  • how: In this research two bootstrap methods . . .

     

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