查询词典 efficient estimator

We show that our estimator achieves the same asymptotic efficiency as Lin and Carroll's estimator, but performs better in finite samples.

估计量达到了与Lin和Carroll的估计量相同的渐近有效性，且在有限样本情形下表现更好。

Minimax estimator;Bayes solution;Poisson mean;Restricted space;K-normalized squared error loss;Linear minimax estimator;Weighted squared error loss

中文关键字大中取小估计式；贝氏解；卜阿松分布平均数；限制参数空间；K-正规化平方误差损失；线性大中取小估计式；加权平方误差损失

In theory, the proposed Blue-estimator is akin to the best invariant quadratic unbiased estimator.

理论上，本文所介绍的估计式(Blue-estimator)雷同於最佳不变二次无偏估计式。

Simulation results shown for QPSK and 8-PSK, demonstrate that the new estimator clearly performs as well as the best SNR estimator in each SNR range.

仿真结果表明，这种新的估计算法在更大的信噪比范围内的表现要优于其他现存的估计算法。

For the linear model with aggregated data, this paper proposed one kinds of the relative efficiency of Peter-Karsten estimator compare to the best linear unbiased estimator.

对于聚集数据的线性模型，本文给出了Peter-Karsten估计相对于最佳线性无偏估计的一个相对效率，得到了相对效率的下界，讨论了该相对效率与广义相关系数的关系。

In the fifth chapter, we propose the conditional generalized ridge-type estimator of regression coefficient in restricted linear regression model, and prove that it is superior to the restricted best linear unbiased estimator in terms of mean squares error and mean squares error matrix, we also give the choice of parameters matrix K.

第五章给出了约束线性回归模型中回归系数的条件广义岭估计，讨论了它的优良性，证明了它在均方误差及均方误差矩阵下都优于约束最小二乘估计，并给出了参数矩阵K的选择。

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。

"Please accept this talisman as a token of our thanks."

请收下这个护身符以表达我们的感谢。

If I have that magic, I will be more acceptable in the society.

如果我拥有那种魔法，我将更加被这个社会所容纳。