• 因为这时模型方差阵结构含有方差参数因此我们目标寻求可行估计

    The variance-covariance matrix still include parameter of variance in this condition, so our purpose is to look for feasible estimations.

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  • 采用EWMA模型预测动态变化的方差-协方差矩阵,从实证的角度得到精准的动态迁移相关系数矩阵。

    Using EWMA to forecast the portfolio's dynamic transferred variance-covariance matrix, we can get more reasonable and precise dynamic transferred coefficient matrix.

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  • 最后,我们还研究了一般生长曲线模型不同预测变量下的简单投影预测关于协方差稳健性

    Finally, robustness of the simple projection predictor in the general growth curve model with different linear predictable variable on the covariance matrix are investigated.

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  • 本文通过航空重力测量数据分析建立具有空间相关特性空间协方差函数模型

    By the analysis of airborne gravity measurement data, this paper constructs a space covariance function model with spatial characteristics.

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  • 采用协方差结构模型分析方法,这些因素进行了实证研究。

    Further using Covariance Structure Model, we make an empirical analysis of these factors.

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  • 降低保险公司面临风险角度出发,给出了两全保险协方差方差最小时的最佳年限确定模型

    From the viewpoint of reducing the risk faced by insurance company, the models for determining the best time limit of endowment insurance are given under the minimum covariance and variance.

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  • 最后讨论内尺度模型归一化强度协方差函数湍流强度变化情况。

    Finally, the variation of the normalized covariance function of intensity with different strengths of turbulence under zero inner model is discussed in detail.

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  • 这里学习模型包括对于估测变量方差估计,以及股票收益率这个预测变量协方差

    The learning model includes the volatility estimation of the predicative variables and the covariance of stock return and this predicative variable.

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  • 对于不同相关函数模型背景误差协方差做了相关分析对比。

    Different correlation functions fitting background error covariance are investigated and the results are given.

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  • 线性混合模型随机效应协方差推广正定阵,运用方差分析估计方法给出了方差分量的估计。

    In this paper, the covariance matrix of random effect in linear mixed model is extended to positive matrix. We construct the estimation of variance components based on the idea of ANOVA estimation.

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  • 带有关系因子变量的方差分析模型实际应用中有广泛的适应性。

    The covariate analysis model with some nested factors is widely used in practical problem.

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  • 结果采用混合线性模型协方差分析发现,与婴幼儿生长密切相关主要因素月龄、是否SGA性别出生体重

    Results:Mixed linear models statistical method revealed that the main factors of child growth were age, SGA or not, gender and birth weight.

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  • 线性模型重要的一类统计模型,它包括线性回归模型方差分析模型方差分析模型方差分量模型等等

    Linear models are especially important statistical models, including linear regression model, variance and analysis, covariance and analysis, and variance and component one etc.

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  • 方差矩阵配合模型结果显示精神因素对糖尿病的患病状况不仅直接影响同时有间接影响。

    Results of linear structural relation model based on covariance matrix showed that psychological factors affected the development of NIDDM not only directly but also indirectly.

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  • 结果:提出了模型一般框架给出了协方差密度性质以及模型拟合优度检验

    Results: a general framework of the model is established. The property of covariance density and the goodness of fit test are given.

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  • 提出了一种基于信息效能函数传感器管理决策模型分析了以预测误差方差分配效能的分配算法优性。

    An optimal decision model of sensor management based on information efficacy function is proposed. The optimality of the allocation algorithm based on predicting covariance is analyzed.

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  • 本文对基于方差航迹融合算法进行了仿真分析对航迹融合模型的稳定性进行了探讨。

    The simulation and analysis on algorithm of multisensor track-to-track fusion is based on cross-variance functions, and analysis of the stability to model is presented.

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  • 线性模型一类很重要统计模型包括回归模型方差分析模型协方差分析模型以及混合模型

    Linear model is a vital class of statistical model which involves regression model, variance analysis model, covariance analysis model and mixed model etc.

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  • 其次多径时延模型基础上,本文分析研究了加权分数协方差时延估计方法基于加权非线性变换的时延估计方法。

    Then, based on the multipath model, this thesis analysed and researched the time delay algorithm based on the weigthed fractional lower order covariance and the weigthed non-linear transformation.

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  • 为了线性非线性模型合纵向数据需要确定一个合理方差结构

    It is necessary to make a reasonable covariance structure for longitudinal data so as to fit these data with linear or nonlinear models.

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  • 提出教学效率协方差分析分析模型介绍了模型的参数估计假设检验计算公式方法

    The paper puts forward covariance analysis model about teaching efficiency, introduces some calculation functions and methods on the point estimation and testing hypothesis about the model.

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  • 方差分量模型随机效应方差单位时《线性模型引论进行研究

    Variance component model of the random effects of covariance matrix unit for the "Linear model introduction" matrix has been studied.

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  • 通过附有条件间接模型进一步证明各类方差-协方差分量估计公式之间等价性

    In this paper, through the model of parameter adjustment with constraints among the parameters, a further proof on the equivalence of the formulas of variance-covariance components is gives.

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  • 结论方差分析中使用变量使对模型理解变的简单,在方差分析中使用哑变量使得可以回归的角度来理解模型

    Conclusion: It is easy to understand the analysis of covariance and analysis of variance can also be considered in regression analysis setting by defining appropriate dummy variables.

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  • 传统金融风险度量模型中,基本都是基于正态分布然后运用方差协方差求解资产组合的风险价值

    In the traditional financial risk measurement model, the basic method is based on normal distribution, and then the variance-covariance method used to solve the portfolio value at risk.

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  • 研究任意多元线性模型最优线性无偏预测稳健性,即对任一线性可预测变量,得到了其关于协方差矩阵具有稳健性的充要条件。

    The conditional optimal prediction of the conditional predictable variable in the multivariate linear model with arbitrary rank and linear equality constrains was investigated.

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  • 结果双变量多水平模型可以估计水平两个变量方差方差阵,据此可以计算相关系数变量变化的函数式

    Results Multilevel models can present the variance covariance metrics of two dependent variables in every levels, and make out the functional expresses of correlation coefficient with covariates.

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  • 结果GLM简化适用回归分析方差协方差分析、多水平模型具体统计模型

    Results to simplify GLM into several particular statistical models which are suitable for regression analysis, analysis of variance and covar...

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  • 结果GLM简化适用回归分析方差协方差分析、多水平模型具体统计模型

    Results to simplify GLM into several particular statistical models which are suitable for regression analysis, analysis of variance and covar...

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