For longitudinal data, the within-subject covariance matrix plays an important role in statistical inference and it is of great interest to investigate this. In the paper, two kinds of estimators are investigated for the random effect covariance matrix D <Subscript>1</Subscript> and the error variance σ <Superscript>2</Superscript> in linear...</superscript></subscript>