1) square root estimator
平方根估计量
2) root power estimator
根方估计
1.
A new root power estimator ■(m_1,m_2) is proposed as to solving the problem that either or both of design matrixes A and B of growth curve model is/are likely to be ill-conditioned.
针对生长曲线模型中设计阵A与C至少有一个病态时的情况提出新根方估计■(m1,m2),并证明通过新根方参数mi(i=1,2)的适当选取,可使得该估计在均方误差意义下优于最小二乘估计及普通根方估计,证明其容许性及其对最小二乘估计抗干扰性的改进,并给出确定参数mi的两种方法。
3) root root estimator
根方估计
1.
In this paper, a new biased estimator called partial root root estimator is proposed through analyzing the corresponding properties of root root estimator, Stein shrunken estimator, and Sclove partial shrunken estimator.
在分析根方估计、Stein均匀压缩估计、Sclove部分压缩估计各自特点的基础上,提出了一种新的有偏估计部分根方估计,并讨论了它的优良性质。
2.
When the designed matrix is ill-conditioned, Covariance Adjustment Estimatorβ~ 1 is not accurate, so we propose a class of new estimators—root root estimator, which is based on the mean square error criterion.
因此本文在均方误差意义下提出了一类新的估计―根方估计。
5) SQRT Square Root Calculations
平方根计算
6) local root square estimation
局部根方估计
1.
The superiorities of local root square estimationfor for mixed coefficient linear model parameter;
混合系数线性模型参数的局部根方估计的优良性
2.
On the basis of studying local root square estimation of parameter in a linear model with mixed coefficients,the properties of this estimation is proved,such as F-optimality and improvement on anti-jamming of least squares estimate under the principle of matrix condition number.
在研究混合系数线性模型参数的局部根方估计的基础上,进一步论证了此估计的F-优良性和在矩阵条件数准则下对最小二乘估计抗干扰性的改进。
3.
Two forms of local root square estimations of parameter d in a linear model with mixed coefficients dL(k) and dL(k) are given in the case of repeatedly measured data, where 0<k<1.
在连续测量数据情况下,给出了混合系数线性模型参数的局部根方估计dL(k)和dL(k)(0
补充资料：平方
平方
square
平方【，卜.犯;拙叭paT]，数a的 积“·a=aZ;因为这个积表示边长为a的正方形的面积，所以称为“平方”.Ec3一3【补注】对a·a称“平方”(正如对a·a·a称“立方’一样)，是古希腊人从几何观点看待数的痕迹.杜小杨译
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