1) Modified recursive kernel estimation
改良的递推核估计
2) improved kernel estimator
改良的递归核估计
3) Modified partitioning recursive estimation
改良的基于分割的递推估计
4) improved kernel estimate
改良核估计
1.
The means of the error decomposition of kernel estimates is extended and by it the normal approximation rate and the law of iterated logrithm for the improved kernel estimates of nonparametric regression function are obtained under usual conditions.
把已有的误差分解式推广到改良情形 ,并利用它得到了非参数回归函数改良核估计在样本独立同分布下的正态逼近速度和重对数
5) Recurisive kernel estimator
递推型核估计
6) recursive estimate
递推估计
1.
Synthesizing the two identification methods of weighted least square and resricted memory, the mutivariable system recursive estimate algorithems of unknown parameter of autoregressive models in the presence of controlled inputare are given.
将加权最小二乘法和限定记忆两种参数估计方法相综合 ,给出了多变量系统带控制输入的自回归模型未知参数的递推估计算法 。
2.
In this paper,the two identification methods of weighted least square and restricted memory are synthesized and it gives out recursive estimate algorithms of unknown parameter of autoregressive model with controlled input.
本文将加权最小二乘法和限定记忆两种辨识方法相综合，给出了带控制输入的自回归模型未知参数的递推估计算法。
补充资料：推核
1.审问。
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