Multiplicative Effects in Mixed Model Analysis of Variance
提出了一类双向混合方差分析模型，其中固定效应和随机效应以乘法方式进入，并开发了通过评分算法迭代计算最大似然估计的方程，在植物遗传学数据上展示了参数估计和假设检验。
A class of two-way mixed analysis of variance models is proposed, in which the fixed and random effects enter multiplicatively. Equations are developed for iterative computation of maximum likelihood estimates via a scoring algorithm. Parameter estimation and hypothesis testing are illustrated on a set of plant genetics data.