In this paper the growth curve model, with the data correlated according to uniform structure, is considered. It represents a useful statistical model for a variety of areas. Our aim is to present various estimators of unknown variance parameters and compare their statistical properties. In the first part the review of known results for different estimators of $$\rho $$ ρ and $$\sigma ^2$$ σ 2 and their properties is given. The aim is to compare and order these estimators based on biasedness and mean square error.

中文翻译：

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增长曲线模型中的类内结构估计

本文考虑了数据按照统一结构关联的增长曲线模型。它代表了适用于各种领域的有用统计模型。我们的目标是呈现未知方差参数的各种估计量并比较它们的统计特性。在第一部分中，回顾了 $$\rho $$ ρ 和 $$\sigma ^2$$ σ 2 的不同估计量的已知结果及其性质。目的是根据偏差和均方误差对这些估计量进行比较和排序。