Robust analysis of two-way models with repeated measures on both factors
Robust analysis of two-way models with repeated measures on both factors
复制标题
对两个因素进行重复测量的双向模型的稳健分析
作者：
M. Rashid
一个强大的双向模型与重复测量的两个因素的分析，开发使用分散函数。这种强大的分析为用户提供了一个完整的推理：估计，一般线性假设的测试和多重比较程序。相对于最小二乘对应的秩检验的渐近相对效率进行了讨论。从医学和药学研究的两个真实的生活的例子分析。
A robust analysis of two-way models with repeated measures on both factors is developed using a dispersion function. This robust analysis gives users a complete inference: Estimation, tests for the general linear hypotheses, and multiple comparison procedures. Asymptotic relative efficiencies of the rank tests with respect to the least-squares counterpart are discussed. Analyses of two real life examples from medical and pharmaceutical studies are presented.