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1)  mean square deviation of random error
随机误差均方差
2)  error variance
误差均方差
3)  random errors
随机误差
1.
Effect of random errors of planar near-field measurements with ultra-low sidelobe antennas on antenna far-field pattern;
超低旁瓣天线平面近场测量中随机误差对远场方向图的影响
2.
Effects of random errors on the sidelobe level of a module array antenna;
随机误差对模块化阵列天线副瓣的影响
3.
A calculation of random errors in basic physical experiment;
普物实验中随机误差的计算
4)  random error
随机误差
1.
New definitions of true value,random error and systematic error;
真值、随机误差、系统误差的新定义
2.
Thinking of Standard Error of Random Error;
关于随机误差标准差的几点思考
3.
Random error separation method based on time series model of recursive Kalman running in parallel;
基于递推并行Kalman时序模型的随机误差的分离方法
5)  stochastic error
随机误差
1.
Filter Program Research of Fiber Optic Gyro in Stochastic Error;
光纤陀螺随机误差的滤波方案的探讨
2.
Influence of stochastic error on seawater environment evaluation;
随机误差对海水水质环境评价影响探讨
3.
The results indicate that the misalignment error should be included into the scope of stochastic error.
结果表明,这种不对中所引起的测量误差属于随机误差的范畴,该误差对井斜和方位测量结果的作用是相同的,且服从均匀分布。
6)  mean square error
均方误差
1.
Firstly,screen the descriptors using support vector machine regression(SVR) by leave-one-out method based on the minimum mean square error(MSE),get the optimal kernel and the corresponding retained descriptors.
首先以均方误差(MSE)最小为原则,以留一法通过多轮末尾淘汰实施分子结构描述符的非线性SVR汰选并给出最优核函数和相应保留描述符;其次基于待测样本与训练样本保留描述符向量的欧氏距离,以不同k-近邻群子模型双重留一法预测值反映样本集的异质性;然后基于MSE最小,以留一法通过多轮末尾淘汰实施近邻群子模型的非线性SVR汰选并给出最优核函数和相应保留子模型;最后基于保留子模型以双重留一法实施组合预测。
2.
For the generalized linear model with aggregated data:Y=Xβ+u,Eu=0,Var(u)=σ2∑,this paper is built two kinds of biased estimators: ridge estimator β(k)and improved ridge estimator β(k)which are discussed some superiority to the estimators in the sense of mean square error.
在均方误差意义下,研究了它们的优良性,并将岭估计与改进岭估计进行了比较,推广了有关文献中的结果。
3.
As to seemingly unrelated regression system,a new biased contracting estimator of the parameters is put forward,which is the combination of generalized ridge covariance-improved estimator and Stein estimator,and the good features of this estimator in mean square error is discussed.
对于一类相依回归系统,结合广义岭型协方差改进估计与Ste in估计,提出了一种新的有偏压缩估计,,并讨论了该估计在均方误差下的优良性质。
补充资料:误差方差
分子式:
CAS号:

性质:表示随机因素引起的实验误差大小的方差。

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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