The Construction of Upper Confidence Bounds on the Range of Several Location Parameters
研究了如何构造一组位置参数（如单因素实验中的处理效应）极差的上置信界，帮助实验者评估这些参数的等价性，并给出了正态分布下的具体表格和应用实例。
Abstract This article considers the construction of an upper confidence bound on the range of a set of k location parameters, such as the k treatment effects in a one-way layout. This confidence bound will be useful to the experimenter in assessing the “equivalence” of the location parameters. Some general theoretical results are presented and the case of normally distributed data is considered in detail, with accompanying tables of confidence bounds. Some examples of the application of this new inference method are given.