| 增长曲线模型回归系数的分组压缩主成份估计 |
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| 引用本文： | 李兴丹,江冰. 增长曲线模型回归系数的分组压缩主成份估计[J]. 武汉理工大学学报, 1996, 0(4) |
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| 作者姓名： | 李兴丹 江冰 |
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| 作者单位： | 武汉工业大学数学物理系 |
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| 摘 要： | 对增长曲线模型的回归系数提出了分组压缩主成份估计，并证明了分组压缩主成份估计优于最小二乘估计。进一步讨论了它的优良性，并给出了实际应用中选取偏参数的方法
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| 关 键 词： | 增长曲线模型；回归系数；分组压缩主成份估计；均方误差 |
Classification Compression Principal Component Estimate of Regression Coefficient in Growth Curve Model |
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| Li Xingdan Dept.of Mathematics and Physics,WUT,Wuhan ,China. Jiang Bing. Classification Compression Principal Component Estimate of Regression Coefficient in Growth Curve Model[J]. Journal of Wuhan University of Technology, 1996, 0(4) |
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| Authors: | Li Xingdan Dept.of Mathematics Physics WUT Wuhan China. Jiang Bing |
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| Affiliation: | Li Xingdan Dept.of Mathematics and Physics,WUT,Wuhan 430070,China. Jiang Bing |
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| Abstract: | This paper considers the classification compression principal component estimate of regression coefficient in growth curve model and proves that it is superior to least squares estimate.Furthermore,its optimal properties are shown and the method of aetermining biased parameter is also given. |
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| Keywords: | growth curve model regression coefficient classification compression principal component estimate mean square error. |
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