2) ridge and principal correlation estimation
岭型主相关估计
1.
In order to solve the problem of both ill-conditioned and outlier,a robust ridge and principal correlation estimation was established based on the M-model of the robust estimation theory.
针对法方程系数阵病态和观测值存在粗差对估值结果造成双重影响的问题,在岭型主相关估计的基础上引入抗差M估计模型,提出了一种抗差有偏估计的新方法——抗差岭型主相关估计。
3) stein-generalized main correlation estimation
stein型广义主相关估计
4) generalized main correlation estimation
广义主相关估计
1.
Based on the estimation of the main correlation estimation idea for generalized linear models,we give a new biased estimate,which we call generalized main correlation estimation.
根据主相关估计的思想,针对广义线性模型,本文给出了一种新的回归系数的有偏估计——广义主相关估计,并将其与stein型压缩估计相结合,提出stein型广义主相关估计,在均方误差的意义下考虑其特性,对偏参数的范围予以讨论。
5) combining generalized ridge and principal components estimator
广义岭型主成分估计
1.
The combining generalized ridge and principal components estimator of regression coefficient in growth curve model;
增长曲线模型中回归系数的广义岭型主成分估计
6) generalized ridge estimation
广义岭型估计
1.
Lesser components and generalized ridge estimation;
非主成份与广义岭型估计
补充资料：广义
范围较宽的定义（跟‘狭义’相对）：～的杂文也可以包括小品文在内。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条