Two tests are derived for the hypothesis that the coefficients of variation of k normal populations are equal. The k samples may be of unequal size. The first test is the likelihood ratio test with the usual X2-approximation. A simulation study shows that the small sample behaviour under the null hypothesis is unsatisfactory. An alternative test, based on the sample coefficients of variation, appears to have somewhat better properties
To test for equality of variances in independent random samples from multiple univariate normal popu...
A comparative study is made of three tests, developed by James (1951), Welch (1951) and Brown & ...
A comparative study is made of three tests, developed by James (1951), Welch (1951) and Brown & ...
Two tests are derived for the hypothesis that the coefficients of variation of k normal populations ...
Two tests are derived for the hypothesis that the coefficients of variation of k normal populations ...
Two tests are derived for the hypothesis that the coefficients of variation of k normal populations ...
Two tests are derived for the hypothesis that the coefficients of variation of k normal populations ...
Two tests are derived for the hypothesis that the coefficients of variation of k normal populations ...
The coefficient of variation is commonly used in medical and biological sciences. In this paper, sev...
The usual practice for testing homogeneity of several populations in terms of means and variances is...
One of the most accessible and useful statistical tools for comparing independent populations in dif...
For normally distributed populations, we obtain confidence bounds on a ratio of two coefficients of ...
Basic inferential methods for analysing coefficients of variation in normally distributed data are s...
For normally distributed populations, we obtain confidence bounds on a ratio of two coefficients of ...
A comparative study is made of three tests, developed by James (1951), Welch (1951) and Brown & ...
To test for equality of variances in independent random samples from multiple univariate normal popu...
A comparative study is made of three tests, developed by James (1951), Welch (1951) and Brown & ...
A comparative study is made of three tests, developed by James (1951), Welch (1951) and Brown & ...
Two tests are derived for the hypothesis that the coefficients of variation of k normal populations ...
Two tests are derived for the hypothesis that the coefficients of variation of k normal populations ...
Two tests are derived for the hypothesis that the coefficients of variation of k normal populations ...
Two tests are derived for the hypothesis that the coefficients of variation of k normal populations ...
Two tests are derived for the hypothesis that the coefficients of variation of k normal populations ...
The coefficient of variation is commonly used in medical and biological sciences. In this paper, sev...
The usual practice for testing homogeneity of several populations in terms of means and variances is...
One of the most accessible and useful statistical tools for comparing independent populations in dif...
For normally distributed populations, we obtain confidence bounds on a ratio of two coefficients of ...
Basic inferential methods for analysing coefficients of variation in normally distributed data are s...
For normally distributed populations, we obtain confidence bounds on a ratio of two coefficients of ...
A comparative study is made of three tests, developed by James (1951), Welch (1951) and Brown & ...
To test for equality of variances in independent random samples from multiple univariate normal popu...
A comparative study is made of three tests, developed by James (1951), Welch (1951) and Brown & ...
A comparative study is made of three tests, developed by James (1951), Welch (1951) and Brown & ...