Comparison of Some Different Methods for Hypothesis Test of Means of Log-Normal Populations

The log-normal distribution is used to describe the positive data that has skewed distribution with small mean and large variance. This distribution has application in many sciences for example medicine، economics، biology and alimentary science، etc. Comparison of means of several log-normal populations always has been in focus of researchers، but their test statistics are not easy to derive or extremely complicated for this comparisons. In this paper، the size and power of different testing methods including F-test، likelihood ratio test، generalized p-value approach and computational approach test are compared in a simulation study.