Sequential Multiple Comparisons With the Best
提出一种序贯实验设计与分析方法，在比较多个处理时，一旦有统计证据表明某处理不是最佳就立即终止，最终能以预设置信水平同时断言被终止的处理不是最佳，而剩余处理与未知最佳处理的差距在给定范围内。
Abstract In this article we give a method of designing and analyzing an experiment for comparing k (≥ 2) treatments such that (a) a treatment is terminated as soon as there is (statistical) evidence that it is not the best treatment; and (b) at the conclusion of the experiment, one can assert at some prespecified confidence level simultaneously that those terminated treatments are not the best and those remaining treatments are respectively within certain (small) distances of the unknown best treatment. The inference given by our method is stronger than existing sequential elimination selection inference.