I have two sets of coefficient of variations (cv):
ste1 = c(cv1, cv2, ..., cv15)
set2 = c(cv1, cv2, ..., cv15)
how can I compare set1 with set2? which test should I apply?
I know that if I want to compare only two CVs I can use one of the followings:
Feltz, C. J., & Miller, G. E. (1996). An asymptotic test for the equality of coefficients of variation from k populations. Statistics in Medicine, 15(6), 647-658.
Krishnamoorthy, K., & Lee, M. (2014). Improved tests for the equality of normal coefficients of variation. Computational Statistics, 29(1-2), 215-232.
but how can I compare two vectors of CVs?
Is it fine to only find the distribution of set1 and set2 and if they follow normal distributions, then I use any test which can be applied to normal distributions?
Thanks a lot and looking forward,
I have two populations, each includes 15 individuals. For each individuals I have measurements overtime, I summarized each individuals with its corresponding CV value.
Now I have two sets including 15 CVs per each population and I want to compare two populations to see which shows higher changes in comparison to the other one.