| 模型选择中交叉验证量的改进 |
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| 引用本文： | 何春.模型选择中交叉验证量的改进[J].生物数学学报,2010(2):331-336. |
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| 作者姓名： | 何春 |
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| 作者单位： | 广东工业大学应用数学学院,广东广州510643 |
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| 基金项目： | 国家自然科学基金重点课题资助项目（39930160）;广东工业大学校博士基金项目（073014） |
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| 摘 要： | 对模型选择中交叉验证量CV进行改进,得到新的验证模型是否合适的准则RCV,RCV包含了CV的信息,并包含了拟合程度,模型中的待估参数个数和样本容量等等,比起AIC,BIC和CV具有更好的稳定性和分辨功能.
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| 关 键 词： | 交叉验证量CV AIC准则 RCV准则 BIC准则 |
The Refined Cross-validation Criterion for The Model Selection |
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| HE Chun.The Refined Cross-validation Criterion for The Model Selection[J].Journal of Biomathematics,2010(2):331-336. |
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| Authors: | HE Chun |
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| Institution: | HE Chun (Department of Applied Mathemtics, Guangdong university of technology, Guangzhou Guangdong 510643 China) |
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| Abstract: | In this paper, the refined cross-validation value RCV for the model selection is given, it is better for the model selection than CV, AIC and BIC. RCV is the criterion that includes the residuals sum of squares, the number of sample and the number of parameters in the model. It is more stationary and distinguishable than CV, AIC and BIC. |
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| Keywords: | The Cross-validation value CV AIC criterion BIC criterion RCV criterion model selection |
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