We resort to expectation maximization (EM) algorithm for both the estimation of model parameters and the coping with missing values.
这里，期望最大化算法既用来处理丢失值又用来估计模型参数。
Model parameters are computed using a weighted linear regression technology according to the different impacts of rate point to estimation of model parameters.
利用率点对模型参数估计的影响强弱，使用一种加权的线性回归模型参数估计算法。
Estimation of parameters are very important in grey GM (1, 1) forecasting model.
在灰色g(1,1)预测模型中，参数的估计是非常重要的。
In this paper, the problem of parameters estimation in linear functional relationship model with "error in some variables" is discussed.
本文讨论了部分变量带误差的线性函数关系模型的参数估计问题。
The resulting data were well fitted to time-dose-mortality model, generating parameters of time and dose effects for estimation of virulence indices.
所得数据很好地拟合时间-剂量-死亡率模型，由此获得用于估计毒力指标的时间和剂量效应参数。
There are three main methods of cost estimation: expert method, analog method and parameters model method.
成本估算主要有三种方法：专家判定法、类比法、参数模型法。
A robust parameters estimation algorithm is proposed in this paper, which is based on uniform design for a linear regression model in the case of its coefficient matrix with random disturbance.
针对一个线性回归模型的系统矩阵存在的随机扰动情况，提出一种基于均匀设计的稳健参数估计算法。
And then the model parameters are estimated by means of MLE (maximum likelihood estimation).
其次运用极大似然估计方法对模型的参数进行标定。
The parameters of the camera and the projector are simultaneously estimated by using non-linear least-square estimation model, whose outputs contain the estimated parameters and their accuracys.
摄像头和投射器参数同时采用非线性最小二乘估计模型进行估计，其输出包含被估计的参数及其准确度；
To obtain the best estimation of anti-jamming for measured series, the rule of weighted-square error is introduced to optimize the parameters of estimating model.
采用加权的均方误差准则来优化估计模型的参数，实现对测量序列的抗扰最佳估计。
The type of panel data model, estimation of parameters and choose method of model will be analyzed.
分析了面板数据模型的类型、参数估计和模型选择方法；
Generalized Estimation Equation (GEE) was used to estimate parameters of poisson regression model.
采用了通用估计方程(GEE)方法对泊松回归模型进行参数估计。
The estimation of the parameters can be easily done through EM algorithm and the order model is also easily selected by BIC criterion.
给出了该模型参数估计的EM算法，并利用BIC准则对模型进行定阶。
The research about least square estimation of regression parameters in the linear model has included integrated and systemic results.
对于线性模型中回归参数的最小二乘估计的研究工作已经有了系统和完整的研究结论。
After introducing the structure of the new model, we give the estimation formulas for the parameters of the new model and the algorithms for training and recognition.
本文在给出新模型的框架后，推导了模型参数的估值公式，并给出了模型的训练和识别算法。
In this paper we get the estimation of time-varying parameters in linear regression model with ARMA noise by the least square method and discuss the consistency of the estimation at the same time.
本文利用最小二乘估计给出噪声为ARMA序列线性模型中时变参数估计，并讨论了估计量的相容性问题。
This paper provides a method for the ar order estimation of two dimension ARMA model, and improves an ar parameters estimation method on the basis of autocorrelation function estimation method.
本文正是针对该点，提出了一种二维arma模型的初步定阶方法，同时对AR参数的自相关函数估计方法进行了改进，在此基础上得到了功率谱估计算法。
As to the estimating process of GARCH (1, 1) model, the author adopted Maximum Likelihood Estimation and BHHH algorithm to get unknown parameters' value.
至于GARCH(1,1)模型的估计过程，本文用最大似然估计法和BHHH算法求未知参数值。
The kernel estimation method analyzes the data distribution by not using the prior knowledge of data distribution. This method avoids the impaction of model and parameters estimation.
核密度估计方法从数据样本本身出发研究数据分布特征，不利用有关数据分布的先验知识，避免了模型估计和参数估计的主观影响。
Thus the model is capable of microcomputer digital control of gas turbine and of real time estimation of mal functioned parameters in the gas turbine monitoring system.
因而能用于双轴燃气轮机的微机数字控制和对气动性能参数监控中的失效参数实时估值计算。
Discussion is made on some applications of the model, including the theoretical studies, genetic analyses and parameters' estimation in mutation breeding.
对模型的一些应用作了讨论，包括诱变育种中的理论研究、遗传分析和参数估计。
In this paper, the outputs of infrared sensors and the Angle parameters are used to set up a range estimation model, which provides an important theoretical reference for the research of systems.
通过融合红外探测器对目标辐射的响应信息，利用所测得的角度参数，建立了获取目标距离的估算模型，为系统的研制提供了重要的理论依据。
A novel algorithm for optimizing the structure and parameters of Direction of Arrival (DOA) estimation model based on radial basis function neural network is presented.
提出一种优化径向基函数神经网络来波方位(DOA)估计模型结构和参数的方法。
The principle and method for fitting and estimation of constitutive equation model parameters are discussed.
分析了用曲线拟合估计粘弹性材料线性本构方程模型参数的原理和方法。
Under different kinds of fault, the parameters and dynamic responses are compared to check up the validity of the model and the parameter estimation.
在不同的故障下对辨识参数和等值前后的系统动态响应进行分析比较，检验等值效果。
Different expressions of the model structure are adopted, and the lowest accuracy of the parameters estimation is about 93%.
模型结构采用不同的形式表达，参数估计的最低准确率约为93%。
By analysing the differential equation of GM(1,1), this paper gives an unbiased GM(1,1) model and proposes a new method of estimation of the GM(1,1)model parameters.
通过分析GM （1，1）白化方程的解析表达式 ，建立了无偏的GM （1，1）模型 ，给出了估计模型参数的新方法。
The principle of variance reduction of model parameters estimation through OA-MLHS together with BCT is also discussed.
文中对结合使用OA-MLHS与BCT从而减少了分布参数的估计方差的数学原理进行了分析。
A moving target parameters estimation algorithm, which is based on the principle of model matching and used for underwater acoustic networks detection nodes, is proposed in this paper.
文章提出了一种水声网络探测节点的运动目标参数估计方法，即基于模型匹配原理的估计算法。
In order to optimize the parameters in a crop growth simulation model, a new method based on nonlinear least squares method was developed for estimation of hidden parameters of crop growth.
为了使作物生长模型中的参数最优化，提出了一种改进型非线性最小二乘法在作物生长模型中隐含参数估计的应用技术，针对多目标项的情况提出了权矩阵的自动计算方法。
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