Long Michael A, Berry Kenneth J, Mielke Paul W
Oklahoma State University, USA.
Psychol Rep. 2010 Oct;107(2):501-10. doi: 10.2466/03.PR0.107.5.501-510.
Monte Carlo resampling methods to obtain probability values for chi-squared and likelihood-ratio test statistics for multiway contingency tables are presented. A resampling algorithm provides random arrangements of cell frequencies in a multiway contingency table, given fixed marginal frequency totals. Probability values are obtained from the proportion of resampled test statistic values equal to or greater than the observed test statistic value.
本文介绍了用于获取多维列联表卡方检验和似然比检验统计量概率值的蒙特卡罗重采样方法。一种重采样算法在给定固定边际频率总数的情况下，提供多维列联表中单元格频率的随机排列。概率值通过等于或大于观察到的检验统计量值的重采样检验统计量值的比例来获得。
