A robust score test for testing several coefficients of variation with unknown underlying distributions

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Abstract

A parametric robust test is proposed for comparing several coefficients of variation. This test is derived by properly correcting the normal likelihood function according to the technique suggested by Royall and Tsou. The proposed test statistic is asymptotically valid for general random variables, as long as their underlying distributions have finite fourth moments. Simulation studies and real data analyses are provided to demonstrate the effectiveness of the novel robust procedure.

Original languageEnglish
Pages (from-to)1350-1360
Number of pages11
JournalCommunications in Statistics - Theory and Methods
Volume38
Issue number9
DOIs
StatePublished - Jan 2009

Keywords

  • Coefficient of variation
  • Robust Likelihood
  • Score test

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