Multiple Comparison Procedures Based on the Maximal Component of the Cumulative Chi-Squared Statistic
讨论了基于累积卡方统计量最大分量的多重比较程序，证明了其马尔可夫性质，并用于计算单向和双向方差分析模型及双向列联表中最大分量的p值，与Williams(1971)方法比较了检验变点的功效。
Multiple comparison procedures based on the maximal component of the cumulative chi-squared statistic are discussed. The Markov properties for the successive components of the cumulative chi-squared statistic are proved and applied for obtaining the p- value of the maximal component in each of the one-way and the two-way analysis of variance models and the two-way contingency table. The power of the multiple comparison procedure is compared with those for some well-known procedures in the setting of Williams (1971) for detecting the change point from the zero level.