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consistent estimator相关的网络例句

查询词典 consistent estimator

与 consistent estimator 相关的网络例句 [注:此内容来源于网络,仅供参考]

The estimators have all the nice properties of MLE and least square estimator, such as the asymptotic properties of MLE or those of a best linear unbiased estimator.

六、这个新方法同时具有极大可能性估计方法与最小平方估计方法的良好统计特质,例如极大可能性估计方法的渐近收敛性质和最小平方估计方法的最佳缘性不偏特性。

In this paper, we study characterizations of admissible in the general linear model Y, Xβ,ε|ε~(0,σ~2∑. We demonstrate that an admissible linear estimator is as the conditional generalized ridge-type estimation in the no constraint, equality constraint, inequality constraint general linear model. We study the superiority of this conditional generalized ridge-type estimation, and prove that it is superior to the restricted best linear unbiased estimator in terms of mean squares. We also give the choice of the matrix K.

本文主要研究了一般线性模型Y,Xβ,ε|ε~(0,σ~2∑中参数估计的可容许性特征,得到了一般线性模型在无约束,有等式约束及有不等式约束下,可容许线性估计均具有条件广义岭估计的形式的结论,并且讨论了这一条件广义岭估计的优良性,证明了其在均方误差和均方误差矩阵意义下都优于约束最小二乘估计,给出了参数矩阵K的选取方法。

To counter this problem,we proposed a new biased estimator which is called rigid regression estimator.

针对此问题,提出一种新的卫星定位算法。

For the linear model with aggregated data,this paper proposed two kinds of biased estimator s which have some superiority to the un biased estimator s in the sense of mean square error.

对于聚集数据的线性模型,提出了二种有偏估计,在均方误差意义下,讨论了它们的优良性质,并将这二种估计进行了比较。

On the basis of diagnosis and measure of multicollinearity,a new biased estimator of unknown parameters called partial ridgeestimator is proposed for Gauss-Markov model.Its properties are discussed,and some important conclusions are drawn.The determination of biased parameter in the PR estimator is discussed too.

基于复共线性诊断和度量的结果,提出了测量平差Gauss-Markov模型参数的一个新的有偏估计,称为基于复共线性诊断和度量的部分岭估计,讨论了部分岭估计的优良性质,提出了岭参数的选取方法。

However, MLE is a biased estimator of the fold change and minimum variance estimator of the fold change exists under the log-normal distribution.

然而相对表现量在对数常态分布时应用最小变异不偏估计法较 MLE 具有不偏性和最小变异。

The denominator of the OLS estimator is 0 when there is perfect collinearity, hence the OLS estimator cannot be performed.

在完全共线性情况下,OLS估计量的分母为零,因此OLS估计量不能估算具体估计值。

Simulation results show that the ML estimator produces more efficient than the LS estimator.

仿真结果表明,对于此类误差最大似然估计比最小二乘估计有效性更好。

Simulation results show that theL estimator produces more efficient than the LS estimator.

仿真结果表明,对于此类误差最大似然估计比最小二乘估计有效性更好。

Performance simulation of the proposed estimator including Mean Squares Error of channel and uncoded Bit Error Rate have been taken, and the results show the estimator is efficient and very flexible.

对信道盲估计的均方误差和由此算法获得的信道的状态信息对无编码的OFDM系统进行解调的误比特率进行了仿真,结果表明提出的算法是有效的并具有很好的灵活性。

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