SOME STATISTICAL METHODS FOR COMPARISON OF GROWTH CURVES
SOME STATISTICAL METHODS FOR COMPARISON OF GROWTH CURVES
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DOI：
10.2307/2527726
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发表时间：
1958-01-01
期刊：
影响因子：
1.9
通讯作者：
RAO, CR
中科院分区：
文献类型：
--
作者：
RAO, CR
已经开发出比较不同对待的个体组的平均生长曲线的测试。当样本量较小时，其中一些测试是准确且有用的。尝试以这样的方式转换时间轴，使得相对于每个组的新时间元，平均增长率尽可能一致。如此定义的各组之间的增长率差异需要接受测试。还检查了所有组的共同转换的充分性。还得出了适合大样本的测试。其他讨论的主题包括个体生长曲线的因子分析模型以及连续观察时生长曲线的判别。
Tests for comparison of average growth curves for groups of individuals treated differently have been developed. Some of these tests are exact and useful when the sample size is small. An attempt is made to transform the time axis in such a way that average rate of growth is uniform, to the extent possible, with respect to the new time metameter for each group. The differences between groups in the rates of growth so defined are subject to a test. The adequacy of a common transformation for all the groups is also examined. Tests appropriate for large samples have also been derived. Other topics discussed are the factor analytic models for individual growth curves and discrimination of growth curves when observations are taken continuously.