Some algebraic and statistical properties of WLSEs under a general growth curve model
Electron. J. Linear Algebra 16, 187-203, electronic only (2007)
Summary
Summary: Growth curve models are used to analyze repeated measures data (longitudinal data), which are functions of time. General expressions of weighted least-squares estimators (WLSEs) of parameter matrices were given under a general growth curve model. Some algebraic and statistical properties of the estimators are also derived through the matrix rank method.
