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 effect of deep tube well use on the incidence of childhood diarrhoea was assessed using a random effects negative binomial regression model.
采用随机影响负二项回归模型，评估深管井的使用对儿童发生腹泻的影响。
The Six Sigma Black Belt should be able to identify which cause on a list of possible causes will most likely explain a non-random pattern in the regression residuals.
西格玛黑带应能识别在各种可能原因的列表中，哪一个原因最合适解释在回归残差中出现的非随机分布。
A reconstructing method for random weighting approximations is proposed in approach to the distributions of the parameter estimates in general linear regression model.
对一般线性回归模型中有关参数估计分布的模拟问题，给出一种随机加权逼近的再构造方法。
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。
As one of the mathematical ways to study the random phenomena, regression analysis is the important tool to study the uncertainty of basin water resources.
回归相关分析作为研究随机现象的重要数学方法，在水资源不确定性分析中具有广泛应用。
Correlation factors between them are analyzed via statistic regression, where thickness of ore formation is regarded as a random variation.
采用回归法分析了矿体厚度与古地貌之间的关系，据统计研究，矿体厚度属随机变量。
Regression analysis is a very useful and flexible analysis method. It is based on a group of tested or observed data to find the relationship between variables that are random covered.
回归分析是一种非常有用且灵活的分析方法，它是在一组试验或观测数据的基础上，寻找被随机性掩盖了的变量之间的依存关系。
A model showing dynamic change of groundwater level for Shenyang area is set up, using the method of multivariate linear regression in random model.
作者应用随机模型中多元线性回归的方法建立了沈阳地区地下水位动态变化模型。
First presented is a method of regression analysis combined with random time series technique for analysis of monitoring data of DAMS.
首先，叙述用回归分析与随机时间序列技术的组合方法来处理大坝的监测数据。
The structure of the GGM is explored by the connection between the local Markov property of texture features and the conditional regression of Gaussian random variables.
根据纹理特征的局部马尔可夫性和高斯变量的条件回归之间的关系，将复杂的模型选择转变为较简单的变量选择，应用惩罚正则化技巧同步选择邻域和估计参数。
Objective To research the relationship between the phospholipase activities and the random amplified polymorphic DNA(RAPD) bands of Candida albicans, and establish the regression model.
目的探讨白色念珠菌磷脂酶活性与随机扩增多态性DNA（RAPD）电泳条带之间的关系，构建多元回归模型。
In addition, some information of the future value of random disturbance term in regression analysis is delivered by complex model, so that the forecasting accuracy is improved.
并且组合模型进一步给出了回归分析中误差扰动项未来值的一些信息，提高了预测精度。
Tracking random targets with Support Vector Regression (SVR) is studied and compared with the Least Square (LS) estimate in this paper.
本文研究了支持向量回归(SVR)在机动目标跟踪中的应用，并与传统回归方法最小二乘法(LS)进行了比较。
To obtain sample space used to establish the nonlinear regression model, the FEM simulation tests were arranged with the methods of orthogonal and random experimental design.
基于正交和随机方法安排了有限元仿真试验，获得了用于非线性电磁建模的样本空间。
Random-effects model meta-regression analyses were performed to assess sources of intertrial heterogeneity.
进行随机效果模型统合回归分析以评估试验间异质性的来源。
The precision of mixed model considering plot random effects, time series error autocorrelation and different plantation density at one time is better than that of ordinary regression analysis method.
同时考虑样地的随机效应、观测数据的时间序列相关性及不同初植密度的混合模型模拟精度比传统的非线性回归方法模拟精度高。
Rao and Zhao (1992) developed the random weighting method for M-estimates in regression models.
提出了一种用随机加权的方法去逼近线性回归模型中M-估计的渐近分布。
Rao and Zhao (1992) developed the random weighting method for M-estimates in regression models.
提出了一种用随机加权的方法去逼近线性回归模型中M-估计的渐近分布。
应用推荐