Under the matrix loss, we find the best linear estimate class of the prediction index.
在矩阵损失下，找到预测指标的估计的最佳线性估计类。
We investigate the admissibility of the linear estimate of random regression coefficients under a matrix loss function in general growth curve models.
本文在矩阵损失下研究了一般增长曲线模型中随机回归系数线性估计的可容许性。
The new algorithm is also used in parameter estimate, and the results of linear estimate and nonlinear estimate all show the effective of the improved algorithm.
文中还将改进的实数遗传算法用于测量数据的估计中，得到了较好的线性和非线性参数估计结果。
In this case optimally weighted LS estimate is not a linear estimate of a parameter given input and observation anymore and can not be compared with linear minimum variance estimate.
在这种情况下，最优加权最小二乘估计变成关于观测和输入的非线性估计，且与线性最小方差估计不可比。
The Kalman Filter is widely applied in the Information Fusion at the present, which can get the optimal estimate in the Linear-Gaussian model, but not applied in the nonlinear and non-Gaussian model.
目前在信息融合领域广泛使用的融合算法是卡尔曼滤波，它在线性高斯模型下能得到最优估计，但在非线性非高斯模型下则无法应用。
For example, the linear feet of piping installed can be compared to the required amount of piping to estimate the percentage of piping work completed.
例如，将已安装的直线管道和须要装置的管道数量进行比拟便可测算出已完工管道劳动量的百分比。
It is a classic problem to estimate motion-parameter of target based on bearing series in non-linear domain.
利用目标的方位序列跟踪目标的运动参数是非线性领域的一个经典问题。
A upper bound with consistent matrix norm and the estimate for error of AOR iterative method for solving linear equation system, which based on the doubly diagonal dominance, are presented.
在双严格占优矩阵条件下，给出了相容矩阵范数的一个上界，并以此为基础，得到了线性方程组求解时的AOR迭代法的误差估计式。
This paper USES a partly linear model to estimate the correlation between income and expenditure.
本文利用部分线性模型，估计了收入与消费的相关性。
This paper describes the methods to mark the linear calibration and the uncertainty estimate when Fe in metallic silicon is determined by Atomic Absorption Spectrephotometry (AAS).
介绍了采用原子吸收光谱仪(AAS)对金属硅中铁杂质含量进行测定时，线性校正和不确定度评估的方法。
A global smoothing method based on polynomial splines is used to estimate the coefficient functions in functional-coefficient linear autoregressive models.
基于多项式样条全局光滑方法，建立函数系数线性自回归模型中系数函数的样条估计。
Given the stability, error estimate of full discretization for the linear equation.
给出该线性方程全离散的稳定性和误差估计。
For solving the linear system with the iterative method, it is very important to estimate the spectral radius of the iterative matrices and give the convergence analysis.
在用迭代法求解线性方程组时，迭代矩阵的谱半径估计及其收敛性分析是非常重要的。
A dynamic catalyst coking model and multi-variant linear regression model are used to estimate the parameters of catalyst coking model.
提出了采用动态结焦模型以及新鲜催化剂结焦速率的线性回归模型来估计结焦模型参数的方法。
The deconvolution filter is made up of an output observer and a linear mapping, where the latter reflects the internal connection between the unknown input signals and the output estimate error.
反卷积滤波器的结构等效于输出观测器和一个线性映射，该线性映射反映了未知输入与输出估计误差之间的内在联系。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
Because new lower bounds are not relative to the weight structure of the codes, it is easy to estimate undetected error probability of various linear block codes.
由于新的限与码的重量结构无关，因此可以方便地估计任何线性分组码的不可检错误概率。
This algorithm can realize linear minimum mean square error estimation of yaw rate, and on-line estimate statistical characteristic of system noise and observation noise during vehicle running.
该算法实现了横摆角速度的线性最小均方误差估计，且可对汽车行驶过程中的系统噪声和观测噪声统计特性进行在线估计。
The linear unbiased minimum variance estimate and the optimally weighted least squares estimate are two of the most popular estimation methods for a linear model.
线性无偏最小方差估计与最优加权最小二乘估计是线性模型下两种最常用的估计方法。
Linear minimum variance estimate and optimally weighted LS estimate are often used in many fields such as signal processing, control and communications.
在信号处理、控制和通讯等技术领域，常常使用线性最小方差估计和最优加权最小二乘估计对参数作出估计。
An alternative would be to estimate a linear model and assume that the marginal propensity to import is constant.
另一个选择是将估计线性模型和假设的边际进口的倾向是不变的。
This paper proposes a new recursive estimate algorithm for unknown time-delay, orders and coefficients of linear discrete-time stochastic control systems (ARMAX model).
针对时滞、阶数和系数皆未知的离散时间线性随机控制系统（ARMAX模型），提出一种对时滞、阶数和系数同时进行递推估计的算法。
The support vector clustering(SVC)algorithm was introduced to detect linear modulation frequency(LFM) signal and estimate its parameter.
文中引入支持向量聚类（SVC）算法对多分量LFM信号进行检测和参数估计。
This paper suggests a new AGARCH linear regression model, and USES nonparametric regression method to estimate the model.
本文提出一个新的非对称广义arch模型，并以非参数回归方法对模型进行估计。
This shows how to estimate both the angles of arrival (AOA) and the polarizations of incoming planear waves with an uniforms linear array of crossed dipoles.
论述了利用交叉偶极子均匀线阵进行多信号到达角与极化参量联合估计的方法。
Research results:Residual strength of slip soil has linear regression with peak strength; plastic index can be better used to estimate residual strength.
研究结果：滑带土的峰值强度和残余强度比较接近，成线性关系；塑性指数能较好的用来估算残余强度。
In this paper, we provide a detailed estimate for the modeling error of linear elasticity problems with highly oscillatory coefficients.
在本文中，我们将对系数剧烈振荡的线性弹性力学方程做模型误差估计。
Objective The work was designed to estimate the relative importance of each variable in multiple linear model.
目的 ：在多元线性模型中 ，估计各自变量的相对重要性。
Conclusion the maximum likelihood method based on MCECM algorithm can be used to estimate the parameters of non-linear factor analysis model.
结论基于MCECM算法的极大似然估计方法可用于估计非线性因子分析模型的参数。
We compare the spectral decomposition estimate by the analysis of variance estimate in the linear mixed model with two variance components.
对含两个方差分量的一般线性混合模型，我们给出其方差分量的改进估计，主要对组合谱分解估计进行改进。
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