The researchers looked at how to estimate the average value of a specific type of distribution. They compared different methods and found that a modified maximum likelihood estimator was the most efficient. This estimator was always reliable, quick to calculate, and likely to give accurate results. In simple terms, they figured out a better way to estimate this value, which is important for many practical applications.