| Gauss-Markov模型回归系数广义岭估计的优良性 |
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| 引用本文： | 魏影,陈俊霞. Gauss-Markov模型回归系数广义岭估计的优良性[J]. 高师理科学刊, 2014, 0(5): 23-25 |
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| 作者姓名： | 魏影 陈俊霞 |
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| 作者单位： | 陆军军官学院基础部; |
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| 摘 要： | 针对Gauss-Markov模型,讨论了在均方误差矩阵(MSEM)准则和Pitman Closeness(PC)准则下回归系数的广义岭估计相对于最小二乘估计的优良性.
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| 关 键 词： | 最小二乘估计 广义岭估计 MSEM准则 PC准则 |
The superiorities about generalized ridge estimator of regression coefficients in Gauss-Markov model |
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| WEI Ying,CHEN Jun-xia. The superiorities about generalized ridge estimator of regression coefficients in Gauss-Markov model[J]. Journal of Science of Teachers＇College and University, 2014, 0(5): 23-25 |
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| Authors: | WEI Ying CHEN Jun-xia |
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| Affiliation: | ( Department of Basic Course, Army Officer Academy, Hefei 230031, China ) |
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| Abstract: | For the Gauss-Markov model,under the mean square error matrix（MSEM）criterion and Pitman Closeness （PC）criterion,the superiorities of the generalized ridge estimator of regression coefficients over the least square estimator were studied. |
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| Keywords: | least square estimator generalized ridge estimator mean square error matrix criterion Pitman Closeness |
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