Multilevel mixed linear model analysis using iterative generalized least squares
利用迭代广义最小二乘分析多层混合线性模型
Models for the analysis of hierarchically structured data are discussed. An iterative generalized least squares estimation procedure is given and shown to be equivalent to maximum likelihood in the normal case. There is a discussion of applications to complex surveys, longitudinal data, and estimation in multivariate models with missing responses. An example is given using educational data.