Multiple Three-Decision Rules for Factorial Simple Effects: Bonferroni Wins Again!
研究了在因子设计中用多重t检验判断简单效应正负的方法，推导了精确临界点并与Bonferroni、Scheffé和Tukey的保守界比较，发现Bonferroni界最接近精确值。
Abstract Multiple t tests are used to decide which of several simple effects are positive and which are negative. Exact critical points are derived and compared with simple conservative bounds of Bonferroni, Scheffé, and Tukey, with the Bonferroni bounds being close and relatively closest to the exact values.