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estimator相关的网络例句

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与 estimator 相关的网络例句 [注:此内容来源于网络,仅供参考]

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。

The null hypothesis is that the efficient estimator is a consistent and efficient estimator of the true parameters.

2, 如果上述理论逻辑通的话,将内生变量 X 作为解释变量, IV 和其他变量( X2)作为解释变量,看 IV 是否显著,它应该显著。

Based on censored data, a smoothing estimation method is proposed to estimate the parameter functions. Moreover, a consistent estimator for the asymptotic variance matrix of the estimators is provided. The limiting distribution of estimated functions and the estimator of variance matrix enable us to construct approximated regions.

根据截切资料,我们提供平滑估计法以便估计参数函数,接著,我们也对估计函数的变异矩阵提出一个估计式,利用估计式的常态分配逼近,其相对应的信赖区间建构法也被提出。

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。

In particular, for recurrent event data, we proposed a novel nonparametric estimator of the survival function and obtained an efficient estimator of the expected total number of events for counting processes. Also we established asymptotic properties of these estimators and investigated nonparametric estimation of survival functions, density functions and hazard functions under various types of incomplete data.

在重复事件发生的情况下,创新地提出了一种生存函数的非参数估计,获得了计数过程中预期事件总数的估计以及这些估计的大样本性质,并在其他各种不完全数据下对生存函数,概率密度和失效率函数等非参数估计进行了深刻研究。

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