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unbiased estimator相关的网络例句

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And others discussed the best linear unbiased estimator for the logistic population.

等又先后讨论了Logistlic分布参数的最佳线性无偏估计及估计的相对效率等问题。

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。

Kriging algorithm builds varation model of regional variables and through which seeks for best linear unbiased estimator of unknown property.

摘 要:Kriging算法通过构造区域化变量的变异模型,并据此求取未知数据的最优线性无偏估计量。

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。

So, we discuss the asymptotically best linear unbiased estimator for the logistic population based on the selected order statistics, give the pr.

为缓解这一困难,本文讨论利用样本分位数的Logistic总体的近似最佳线性无偏估计,给出估计量的大样本性质,以及样本分位数不超过10情形下,估计量有渐近最大相对估计效率时样本分位数的选取方案等。

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。

The third aspect: we consider comparison of Minimum Norm Quadratic Unbiased Estimator and ordinary least squares estimator of in the multivariate normal linear model Y ~ N{XB, V, where the design matrix A' need not have full rank and the dispersion matrix V can be singular.

使用的损失函数有二次损失函数、嫡损失函数和对称损失函数。论文基于以下三个准则:二次损失风险准则、嫡损失风险准则和对称损失风险准则,将MINQUE和LSE进行比较。

The estimator x/mn is more manageable and precise than the traditional unbiased estimator.

与传统的无偏估计相比,用混合样本阳性数在样本总量中的比例作为感染率估计值具有计算简单、精度较高的优点。

Under CLM, OLS is not only BLUE, but also the minimum variance unbiased estimator, that is, among linear and nonlinear estimators, OLS estimator gives the smallest variance.

在经典线性模型假设下,OLS不仅是BLUE,而且是最小方差无偏估计量,即在所有线性和非线性的估计量中,OLS估计量具有最小的方差。

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