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bayes估计     
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  bayes estimation
     Convergent Rates of Empirical Bayes Estimation of the Parameter of Garmma Distribution Families Γ{θ,1/2}
     伽玛分布族Γ{θ,1/2}参数的经验Bayes估计的收敛速度
短句来源
     ROBUST BAYES ESTIMATION
     稳健Bayes估计
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     Empirical Bayes Estimation
     经验Bayes估计
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     The Bayes Estimation of the Langlie Test
     Langlie试验的Bayes估计
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     Hierarchical Bayes estimation of population proportion
     总体比例的分级Bayes估计
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  bayesian estimation
     Maximum likelihood estimation and square estimation are given,and when the prior distributions of μ and σ2 are independent the Bayesian estimation of the function θ=exp{aμ+bσ2} of parameters (μ,σ2) is obtained under the loss function L(θ,a)=(θ-a)2 and L(θ,a)=(θ -1×a-1)2.
     在μ和σ2的先验分布独立时,在损失函数L(θ,a)=(θ-a)2和L(θ,a)=(θ-1×a-1)2下给出Bayes估计和最小最大估计.
短句来源
     Bayesian Estimation for the Poisson distribution
     Poisson分布参数的Bayes估计
短句来源
     2.Bayesian estimation.
     2.Bayes 估计。
短句来源
     E-Bayes Estimation and Hierarchical Bayesian Estimation of Estate Probability
     状态概率的E-Bayes估计与多层Bayes估计
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     In this paper,we study the Bayesian estimation of reciprocal of Poisson mean under a symmetric loss function,given the Poisson random sample X_1,X_2,…,X_n,We prove that the Bayesian estimation is admissible.
     本文对给定容量为n的一个Poisson样本X1,X2,…,Xn,在对称损失函数下,研究了Poisson分布参数倒数的Bayes估计,并证明了这一估计是可容许的.
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  bayes estimator
     The Relative Efficiency of Bayes Estimator and LSE Estimator of Regression Coefficients
     回归系数的Bayes估计与最小二乘估计的相对效率
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     A Linear Empirical Bayes Estimator of Parameter Vector in Linear Regression Model
     线性模型中参数向量的线性经验Bayes估计
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     In this paper, we have discussed the Bayes estimator of Σ under the new kind of loss functions L(Σ,) = tr( Σ~(-1) -1_m)D (Σ~(-1) - 1_m)′, Where D is a mxm nonsingular symmetric matrix.
     本文讨论了在一类新的损失函数 L(∑,)=tr(∑~(-1)-I_m)D(∑~(-1)-I_m)'之下,多元正态总体协差阵∑的Bayes估计
短句来源
     In this paper, Bayes estimator of the location parameter in double exponential distribution is derived, and empirical Bayes (EB) estimators are constructed by the kernel estimation method.
     本文在平方损失下导出了双指数分布位置参数的Bayes估计,利用非参数方法构造了位置参数的经验Bayes(EB)估计.
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     JOINT INFLUENCE OF DATA ON BAYES ESTIMATOR
     数据对Bayes估计的联合影响
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  bayes estimate
     The Bayes estimate of H 0 is 61 6< H 0<66 8(km·s -1 ·Mpc -1 ), with 68 3% confidence and the universal age derived by H 0 is (15±1)×10 9 a, which is consistent with the value derived by spherical cluster (15±3)×10 9 a.
     在 68.3%置信水平上得到的 H0 的 Bayes估计为 61.6
短句来源
     Bayes Estimate for the Reliability Growth of a r/N(G)System with Negative Binomial Sampling
     负二项抽样下r/N(G)系统可靠性增长的Bayes估计
短句来源
     Bayes Estimate of Reliability Growth for r/N(G) System Based on Binomial Sampling
     二项抽样模型下r/N(G)系统可靠性增长的Bayes估计
短句来源
     Robot Tactile Sensor Signal Data Fusion Based Bayes Estimate
     基于Bayes估计的机器人触觉传感器信号数据融合
短句来源
     Bayes Estimate of Reliability of Exponential Units under Constant Stress Accelerating Life Testing
     恒定应力加速寿命试验指数部件可靠性的Bayes估计
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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.
      
更多          
  bayes estimate
Bayes estimate of the probability of exceedance of annual floods
      
In this paper Lindley's Bayesian approximation procedure is used to obtain the Bayes estimate of the probability of exceedence of a flood discharge.
      
Having decided the prior, the Bayes estimate or the posterior mean is used mainly here in addition to the posterior mode.
      
A generalized Bayes estimate is derived from a three-stage Bayes point of view under the asymmetric loss function, and the admissibility of such estimators is proved.
      
The simulation result shows as improvement of the Bayesian estimate over the empirical Bayes estimate in some situations.
      
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