A Multivariate Approach to a Mixed Linear Model
本文针对双向混合模型提出一种多元方法，给出一般条件下检验一般假设的新准则，并推导了分布函数的渐近展开式。
Abstract The usual treatment of the two-way mixed model parallels that of the fixed models, with the usual sums of squares appearing in the F ratios. In this article, we argue in favor of a multivariate approach. We propose a new criterion for testing a general hypothesis under general conditions and offer an expression for the asymptotic expansion of the distribution function.