Algorithms for Multilevel Analysis of Growth Curves

机译：生长曲线多级分析算法

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The growth curve analysis is a hotspot in the analysis to understand the characteristics of things change over time. However, the conventional curve fitting method does not apply to the structure data obtained by repeated measurement. Although the outline design matrix computation can be used to treat the structure data in the growth curve analysis, the corresponding SAS programs are very long and hard to understand. In this paper, we present algorithms for multi-level model applied to the analysis of the growth curve. The usage of the algorithms is demonstrated by practical examples.

机译：生长曲线分析是了解事物随时间变化的特征的分析热点。然而，常规的曲线拟合方法不适用于通过重复测量获得的结构数据。尽管轮廓设计矩阵计算可用于在增长曲线分析中处理结构数据，但相应的SAS程序非常长且难以理解。在本文中，我们提出了应用于增长曲线分析的多层次模型算法。通过实际示例演示了算法的用法。

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《World congress on computer science and information engineering;CSIE 2011》|2011年|p.595-599|共5页
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Xiaodong Wang; Jun Tian;
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中图分类计算技术、计算机技术;
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Algorithms for Multilevel Analysis of Growth Curves

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