In this article, the joint best linear unbiased predictors (BLUPs) of two future unobserved order statistics, based on a set of observed order statistics, are developed explicitly. It is shown that these predictors are trace-efficient as well as determinant-efficient BLUPs. More generally, the BLUPs are shown to possess complete mean squared predictive error matrix dominance in the class of all linear unbiased predictors of two future unobserved order statistics. Finally, these results are extended to the case of simultaneous BLUPs of any $l$ future order statistics.

翻译：在本条中,根据一套观察到的顺序统计,明确开发了两种未来未观察到的顺序统计中的最佳线性无偏向联合预测器(BLUPs),显示这些预测器既具有追踪效率,又具有决定性效率;更一般地说,显示BLUPs在两种未来未观测的顺序统计中的所有线性无偏向预测器类别中拥有完全平均的平方预测错误矩阵优势;最后,这些结果扩大到同时出现任何美元未来订单统计的BLUPs的情况。