The researchers studied how to estimate parameters and quantiles for the generalized Pareto distribution, which is used in fields like reliability and environmental studies. They found that for sample sizes less than 500, estimators based on the method of moments or probability-weighted moments are more reliable than maximum likelihood estimation. Computer simulations were used to show that these alternative methods provide more accurate results.