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estimations相关的网络例句

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

On the basis of the balanced loss function proposed by Zellner, we discuss the balanced loss risk and obtain various estimations of regression coefficient in linear regression model.

本文从Zellner提出的平衡损失函数出发,通过讨论平衡损失风险,得到线性回归模型中回归系数的各种估计。

In Chapter 5, we obtain the Bayes estimations of regression coefficient under the balanced loss posterior risk by the three kinds of experiential distributions about the parameters.

第5章就线性回归模型在平衡损失后验风险下,针对参数服从三种不同的先验分布,分别得到平衡损失下的Bayes估计。

In the algorithm, the conditional linear state equation is first inserted into the measurement equation, which fuses the linear state process noise and the original measurement noise, whereafter the GHF is used to estimate the nonlinear states. Then the estimated means of the nonlinear states are inserted into the linear state equation and the original measurement equation to estimate the linear states by the KF. Moreover, in order to improve the accuracy of the estimates, the estimated variances of the nonlinear states are fed back to modify the estimations of the linear states using the KF.

算法将模型中的条件线性状态方程代入观测方程,并融合线性状态的过程噪声和观测噪声,由GHF获得非线性状态的估计;再将非线性状态的估计均值代入线性状态方程与观测方程,由KF获得线性状态的估计;获得的非线性状态估计方差还用于修正由KF估计的线性状态,以提高精度。

In the Gaussian sum filter-Kalman filter algorithm, the conditional linear state equation is first inserted into the measurement equation, which fuses the linear State process noise and the original measurement noise. And the GSF is applied to the new measurement and nonlinear state equations to estimate the nonlinear states. Then the estimations of the nonlinear states are inserted into the linear state equation and the original measurement equation to estimate the linear states by the KF.

算法将模型中的条件线性状态方程代入观测方程,并融合线性状态的过程噪声和观测噪声,再与非线性状态方程联立,由高斯和滤波器(Gaussian sum filter, GSF)获得非线性状态的估计;然后将估计值代入线性状态方程与观测方程,由卡尔受滤波器(Kalman Filter, KF)获得线性状态的估计。

First,much basic knowledge is introduced.Then,it importantly introduces my perspective : in this paper the estimations of the parameters and coefficient of contamination for the simple regression model and studied when its response variables are contaminated by another random variable sequence it discusses that the interval estimation of posterior confidence probability of parameters on coefficient of contamination by using the method of Bayes inference.

首先介绍了一些基础知识,然后重点介绍了我所做的工作:讨论简单回归模型中响应变量受到另一随机变量序列污染时,模型参数和污染系数的估计方法。

The usual nonlinear estimation and two steps estimations method were used to estimate the consociation equation set model method of duality standing tree volume model.

在联立二元立木材积模型的估计中,分别采用了通常非线性估计方法和两步估计方法进行研究。

With the cone theory and monotone iterative technique,the existence and uniqueness of the solution for the ordering symmetric contraction mixed monotone operator equations are studied,and the error estimations for the convergent iterative sequence are also given.

摘 要 利用锥理论和单调迭代技巧,研究序对称压缩的混合单调算子方程解的存在唯一性,并给出迭代序列收敛于解的误差估计。

Principal component transformations and genetic distance estimations were made from the genetic correlation matrix of 9 characters.

利用多元统计方法对50个草莓品种进行了主成分分析,测定了品种间的遗传距离并加以聚类。

Secondly, by the P-L estimation of survivor function, this paper proposed the regression models of polynomial cumulative hazard function distribution models, respectively in the case of complete date and random right censoring date; meanwhile generalized least squares estimations of unknown parameters were proposed respectively using two steps algorithm and principal component analysis algorithm.

与已有的关于多项式危险函数模型的研究成果相比,首先本文在统计模型的构造上充分考虑了累积危险函数乘积限估计量的非独立性,给出了协方差矩阵的估计;其次在模型检验方面,本文利用非参数回归分析方法,充分利用了数据本身的信息,减少了对回归关系假定的主观因素,因而分析结果更为可靠。

Non-parametric estimations reveal that the fat tail of the distribution of stock return satisfies power law decay.

非参数估计显示股票收益分布的非正态性及"肥尾"现象,其尾部满足幂律衰减。

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