Abstract
The log-normal distribution is one of the most common
distributions used for modeling skewed and positive data. In recent years,
various methods for comparing the means of two independent log-normal
distributions have been developed. In this paper a higher-order likelihood based
method is proposed. The method is applied to two real-life examples and
simulation studies are used compare the accuracy of the proposed method to some
existing methods.