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1)  unbiased rigid regression
岭无偏回归
1.
After analysing the problems of rigid regression estimation,unbiased rigid regression method was developed and its merits were discussed.
针对脊峰回归估计存在的问题,构建了岭无偏回归方法并讨论了此法的优点与应用前景。
2)  unbiased regression
无偏回归
1.
It was proven theoretically that the estimate errors of unbiased regression estimation are less than that of general regression estimation.
提出了无偏回归估计方法,从理论上证明了该法比常规的估计法具有更小的平均估计误差。
3)  generalized ridge partial least-squares regression
广义岭-偏最小二乘回归
4)  ridge regression
岭回归法
1.
Simultaneous detection of o-dihydroxybenzene、 m-dihydroxybenzene、p-dihydroxybenzenes by ridge regression;
岭回归法同时测定邻、间、对苯二酚
2.
Multi-factors Empirical analysis of health demands in china——Based on Ridge Regression;
影响我国医疗卫生需求的多因素实证分析——基于岭回归法
3.
The ridge regression method is applied to impedance inversion.
应用岭回归法对波阻抗反演进行了理论和应用研究。
5)  ridge regression
岭回归
1.
Simultaneous Determination of Iron and Platinum by Ridge Regression Atomic Absorption Spectrophotometry;
岭回归原子吸收光谱法同时测定Fe和Pt
2.
Simultaneous Determination of Lead and Palladium by Atomic Absorption Spectrophotometric and Ridge Regression;
岭回归原子吸收光谱法同时测定铅和钯
3.
Modified nonlinear ridge regression with optimal ridge parameter and its application to 4-CBA soft sensor;
优化岭参数的非线性岭回归及4-CBA含量软测量
6)  Kernel ridge regression
核岭回归
1.
Kernel ridge regression-based nonlinear internal model control
基于核岭回归的非线性内模控制
2.
Improving the linear ridge regression by using the kernel function which meets the Mercer\'s condition,a novel nonlinear kernel ridge regression based on directly optimization was proposed.
利用满足Mercer条件的核函数改进线性岭回归算法,提出一种新的直接优化的非线性核岭回归算法。
补充资料:无偏
1.不偏颇。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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