Journal
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
Volume 38, Issue 9, Pages 1350-1360Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/03610920802431036
Keywords
Coefficient of variation; Robust Likelihood; Score test
Categories
Funding
- National Science Council [NSC 96-2628-M-008-007-MY2]
- National Central University-Cathay General Hospital [96CGH-NCU-A1]
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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.
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