mixed linear model

results the reasonable results were obtained for repeated measurements in single-sample by the methods of mixed linear model.

结果通过混合线性模型拟合，使单样本重复测量资料得以合理分析。

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spectral decomposition estimators of variance component matrix in mixed linear model are generalized to multivariate mixed linear model.

考虑含有两个方差分量矩阵的多元混合模型，将一元混合模型下的谱分解估计推广到多元模型下。

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compared with the mixed linear model analysis, the analysis of variance could result in higher type i or ii statistical error rates.

相对线性混合模型分析法，方差分析法分析该试验时，依测验的效应不同会导致第一类或第二类统计错误率的增大。

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the convergence rate of variance component's empirical bayes estimators in mixed-linear model

线性混合模型中方差分量的经验Bayes估计的收敛速度

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Conclusion Mixed linear model can be used to analyze repeated measurement data in single-sample.

结论混合线性模型可以有效地、全面地分析单样本重复测量资料.

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analysis of irrigation experiment using general mixed linear model

田间灌溉试验资料广义混合线性模型分析

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This paper studies Bayes local influence in mixed linear model.

该文研究混合线性模型效应参数的Bayes局部影响评价问题。

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Conclusion We should give attention to the algorithm and error distribution for data, so that generalized mixed linear model got the reasonable application.

结论GLIMMIX可分析多种离散型系统结构数据，但还应注意算法和数据的误差分布，才能使广义混合线性模型得以合理地应用。

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mixed linear model and its application to repeated measurements in single-sample

单样本重复测量资料的混合线性模型及其应用

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