The article explores a more complex version of the classic two-sample problem in statistics. Instead of just comparing two sets of data, this new problem involves unknown distribution functions. The researchers developed rank tests to analyze this type of data and estimate parameters related to these unknown distributions. Their findings shed light on how to handle situations where the underlying distributions are not fully known, providing a valuable tool for statistical analysis in such cases.