In reply to Nhat Bui.

MLE is usually favored when you have a sample. MLE uses the probability density function to estimate the parameters of the distribution that is most likely to have given rise to the data. In contrast, this article assumes that the data are not available, but only summaries of the data. It shows how to fit the parameters of a model distribution to the summary statistics.