The article compares different ways to predict future order statistics from a specific type of data. The researchers focused on samples from a gamma distribution with certain unknown parameters. They found that a predictor called cross-validatory predictor was the most efficient among the four predictors tested. This predictor only uses the mean values of order statistics, making it easier to compute compared to using covariances.