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bayes估计     
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  bayes estimation
    A minimum sample method is given to determine the fatigue limits of structural components based on Bayes estimation theory,the accelerated life testing theory and the similarity of S—N curve between material and components.
    从材料的S—N曲线与构件的S—N曲线形状相似原理出发,结合Bayes估计理论和加速寿命试验理论,提出一个估计构件疲劳极限的极小样本方法。
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  “bayes估计”译为未确定词的双语例句
    The stochastic nature of test date is considered and a normal distribution is used for the mea- surement frequencies. An additional feature is that the engineer's confidence in the measurement fre- quencies is quantified and incorporated into the identification procedure. A numerical example demon- strates the efficiency of the method.
    将统计分析中的 Bayes方法应用到参数识别问题中,提出了利用测量频率的 Bayes估计识别动力学模型的方法,该方法是基于广义逆特征值问题的解.考虑到试验数据的随机性,测量频率用正态分布来描述.此外,将工程师关于测量频率的置信度进行量化,并且与识别过程相结合.数值算例证明了这一方法的有效性.
短句来源
    The method makes use of the spectrum coming from the incomplete experimental modes as constraints,and solves the optimal approximation of FE model,so that the modified model with minimum change of mass is obtained. This method also pays repect to the affect from the experiment errors by using Baysian estimation principle.
    该方法以实验获得的不完备模态的谱点为约束 ,运用Bayes估计原理来处理试验结果误差带来的实验模态可信度问题 ,求取分析模型的最佳逼近结果 ,然后获得质量阵的最小修正模型。
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  bayes estimation
The asymptotically optimal empirical bayes estimation in multiple linear regression model
      
Empirical Bayes estimation of the parameter vector θ=(β',σ2)' in a multiple linear regression modelY=Xβ+ε is considered, where β is the vector of regression coefficient, ε∽N(0,σI with σ2 unknown.
      
In this article, Bayes estimation of location parameters under restriction is brought forth.
      
Individual Prior Information in a Physiological Model of 2H8-Toluene Kinetics: An Empirical Bayes Estimation Strategy
      
Two measures of the influence of the prior distribution p(θ) in Bayes estimation are proposed.
      
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  bayesian estimation
Consideration was given to the Bayesian estimation in the multidimensional indefinite-stochastic observation model using the minimax criterion with the generalized probabilistic risk functionals.
      
In the first case, nonlinear regression analysis is used in combination with successive Bayesian estimation.
      
The map is represented by an occupancy grid framework and updated by the Bayesian estimation mechanism.
      
A Bayesian estimation framework was chosen to build up a regularization scheme based on the weak membrane model.
      
Dynamic Bayesian estimation of displacement parameters of continuous curve box based on Novozhilov theory
      
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  bayes estimator
We investigate the asymptotic properties of the maximum likelihood estimator and Bayes estimator of the drift parameter for stochastic processes satisfying linear stochastic differential equations driven by fractional Brownian motion.
      
In [1] the empirical Bayes estimator of the parameter vector of normal distribution family was introduced, and for the loss function (1) its asymptotically optimal property was proved with respect to the prior distribution family (2).
      
In this paper the thought on the uniform convergence of an empirical Bayes estimator or linear empirical Bayes (l.e.B.) estimator is advanced.
      
The Bayes estimator using a noninformative prior usually has a lower mean squared error than the other estimators and because of this it is the recommended estimator.
      
A Bayes-empiric Bayes estimator of a parameter of the hypergeometric distribution, based on orthogonal polynomials on non-negative integers, is introduced.
      
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  bayes estimators
The convergent rate of empirical bayes estimators for parameters of normal distribution family
      
The best uniform convergence rate of linear empirical bayes estimators
      
The consistency problem of both mean field and variational Bayes estimators in the context of linear state space models is investigated.
      
A method is presented to identify parameters of dynamic models with the Bayes estimators of measurement frequencies.
      
How to obtain Bayes estimators and the highest posterior density credible sets (Bayesian counterpart to classical confidence intervals) for gene frequencies is described.
      
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The Bayesian method of statistical analysis has been applied to theparameter identification problem. A method is presented to identify parameters of dynamic models with the Bayes estimators of measurement frequencies. This is based on the solution of an inverse generalized eigenvalue prob- lem. The stochastic nature of test date is considered and a normal distribution is used for the mea- surement frequencies. An additional feature is that the engineer's confidence in the measurement fre- quencies is quantified...

The Bayesian method of statistical analysis has been applied to theparameter identification problem. A method is presented to identify parameters of dynamic models with the Bayes estimators of measurement frequencies. This is based on the solution of an inverse generalized eigenvalue prob- lem. The stochastic nature of test date is considered and a normal distribution is used for the mea- surement frequencies. An additional feature is that the engineer's confidence in the measurement fre- quencies is quantified and incorporated into the identification procedure. A numerical example demon- strates the efficiency of the method.

将统计分析中的 Bayes方法应用到参数识别问题中,提出了利用测量频率的 Bayes估计识别动力学模型的方法,该方法是基于广义逆特征值问题的解.考虑到试验数据的随机性,测量频率用正态分布来描述.此外,将工程师关于测量频率的置信度进行量化,并且与识别过程相结合.数值算例证明了这一方法的有效性.

A method for updating FE analytical model using the data from vibration test and parametric identification as a reference is put forward in this paper,based on the optimum approach theory of matric under the spectral constraints.The method makes use of the spectrum coming from the incomplete experimental modes as constraints,and solves the optimal approximation of FE model,so that the modified model with minimum change of mass is obtained.This...

A method for updating FE analytical model using the data from vibration test and parametric identification as a reference is put forward in this paper,based on the optimum approach theory of matric under the spectral constraints.The method makes use of the spectrum coming from the incomplete experimental modes as constraints,and solves the optimal approximation of FE model,so that the modified model with minimum change of mass is obtained.This method also pays repect to the affect from the experiment errors by using Baysian estimation principle.The method in this paper needs no iteration,keeps away from the cause of misshapen mode in modifying at the incomplete mode space,and shows the physical characteristics of the model and the clearness of computation.

基于谱约束下的矩阵最佳逼近理论 ,提出一种新的以实验振动测试和参数辨识的数据为参考 ,进行有限元分析模型修正的方法。该方法以实验获得的不完备模态的谱点为约束 ,运用Bayes估计原理来处理试验结果误差带来的实验模态可信度问题 ,求取分析模型的最佳逼近结果 ,然后获得质量阵的最小修正模型。这一方法无需迭代 ,计算简洁 ,可以避免非完备模态空间中修正模型可能出现的“畸变”现象 ,具有较好的物理意义

A minimum sample method is given to determine the fatigue limits of structural components based on Bayes estimation theory,the accelerated life testing theory and the similarity of S—N curve between material and components.With the hypothesis that the fatigue life follows lognormal distribution,fatigue limits are estimated on the basis of fatigue lives of structural components under constant and varied amplitude loading.Two examples show that the estimated fatigue limit not only includes the amount of experiential...

A minimum sample method is given to determine the fatigue limits of structural components based on Bayes estimation theory,the accelerated life testing theory and the similarity of S—N curve between material and components.With the hypothesis that the fatigue life follows lognormal distribution,fatigue limits are estimated on the basis of fatigue lives of structural components under constant and varied amplitude loading.Two examples show that the estimated fatigue limit not only includes the amount of experiential accumulative data and the live data,but also is convenient for calculation.It has a good agreement with the experimental result.

从材料的S—N曲线与构件的S—N曲线形状相似原理出发,结合Bayes估计理论和加速寿命试验理论,提出一个估计构件疲劳极限的极小样本方法。在疲劳寿命服从对数正态函数分布的假设下,研究常幅和变幅载荷作用下由构件的疲劳寿命计算其疲劳极限的问题。两个算例表明,文中提出的方法利用以往积累的大量疲劳试验数据和现场试验数据,估计构件的疲劳极限,计算方便。计算结果与传统方法确定的疲劳极限的结果符合较好。

 
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