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。
Results the reasonable results were obtained for repeated measurements in single-sample by the methods of mixed linear model.
结果表明，此方法可用于多输入、单输出的投入产出分析，对变换后的样本集使用DEA模型可得到一个单元的合理评价结果。
As a result, the method can be used to analyze the devotion and output with multi-input and single output, and can get a reasonable estimate result by transformed sample set using DEA model.
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。
Conclusion Mixed linear model can be used to analyze repeated measurement data in single-sample.
最后，将GAM模型应用于单样本图像识别，计算机模拟证实了该模型的鲁棒性能。
Finally, the GAM is applied to image recognition from a single sample per image successfully, and the computer simulation results verify GAM's robust performance.
最后，将GAM模型应用于单样本图像识别，计算机模拟证实了该模型的鲁棒性能。
Finally, the GAM is applied to image recognition from a single sample per image successfully, and the computer simulation results verify GAM's robust performance.
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