Abstract
Forms of Levene's test for evaluating relative variation (univariate) are compared by simulation, along with the F-test of ratios of squared coefficients of variation, the F-test of ratios of variances of logarithms, and Bartlett's test on logarithms. Only the Levene's tests using the medians were always robust. These consisted of transforming each of a set of sample variates Xi to Yi = | Xi − Md(Xi) | /Md(Xi) or to Yi = | In Xi − Md(ln Xi) | for comparison by ANOVA, where the Md's represent the medians. The use of medians with the log transformation was slightly more powerful when the underlying distributions were positively skewed, while the use of the untransformed ratio form of the test was slightly more powerful when the distributions were symmetrical or negatively skewed. Recommendations and some problems that remain are discussed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.