A Random-Effects Model for Ordered Categorical Data
提出一种适用于多元和分组一元有序分类数据的随机效应模型，其似然函数有闭式表达式，无需数值积分或高斯求积即可计算，并用双变量和分组一元例子展示。
Abstract This article presents a random-effects model for multivariate and grouped univariate ordered categorical data. The assumed family of distributions for the random effects adopts a wide variety of forms and shapes. The model's likelihood has a closed expression and can be computed without recourse to numerical integration or Gaussian quadrature. A bivariate and a grouped univariate example are used to illustrate the proposed model.