1) Bayes parameter estimation
Bayes参数估计
1.
The outlying observation data are eliminated by Grubbs s criterion,then a weighted data fusion algorithm based on Bayes parameter estimation is used and the best estimation results of traffic volume detection are obtained.
在使用格拉布斯准则剔除交通检测数据中的疏失误差数据基础上,建立了一种基于Bayes参数估计的数据融合算法,运用该方法进行交通量检测,并得到数据的最优估计值。
2) parametric empirical Bayes estimator
参数经验Bayes估计
3) Bayes estimation
Bayes估计
1.
Application of Bayes estimation theory in traffic flow detection;
Bayes估计理论在交通流检测中的应用
2.
The Suitability Analysis of the Modernization of Dynamic Distribution Parameters and Prior Distribution Function in Bayes Estimation;
动态分布参数Bayes估计中的验前建模及验前分布的适应性
3.
Application of experience Bayes estimation in ranging;
经验Bayes估计在距离测量中的应用研究
4) Bayesian estimation
Bayes估计
1.
Conditional mean and its applications to Bayesian estimation of reliability measures(Ⅰ);
条件均值对可靠性测度Bayes估计的应用(I)
2.
Bayesian estimation for environmental factor of two parameter of Weibull distribution;
两参数Weibull分布环境因子的Bayes估计
3.
Recursive Bayesian Estimation to Evaluate IR-Counter-Countermeasures Performance of IR-Seeker;
采用递进Bayes估计评估导引头抗干扰性能及仿真
5) bayes estimator
Bayes估计
1.
A condition of PPC superiority of Bayes estimator with inaccurate prior;
先验信息有偏时Bayes估计的PPC优良性条件
2.
Finite element modal updating method based on Bayes estimator;
基于Bayes估计的有限元模型修正
3.
The present paper first deals with the minimum risk equivalent estimator and Bayes estimator for the locate parameter of normal distribution under the Linex loss function,then it gives the exact expression of the equivalent estimator and the admissibility proof of the Bayes estimator,at the end of the paper is the discussion of the admissibility of estimator with the form of cT(x)+d.
首先研究正态分布位置参数在Linex损失函数L(μ,)δ=ea(μ-δ)-a(μ-δ)-1下的最小风险同变估计及其Bayes估计,并给出在该损失函数下位置参数最小风险平移同变估计的精确表达式和Bayes估计的可容许性证明,最后讨论形如cT(x)+d的可容许性。
6) expected Bayesian estimation
E-Bayes估计
1.
For the location-scale parameter model,the least-squares estimation and weighed least-squares estimation for the location and scale parameters were given by the expected Bayesian estimation of the failure probability.
对位置-尺度参数模型,借助失效概率的E-Bayes估计,给出了位置参数、尺度参数的最小二乘估计和加权最小二乘估计,从而可以得到寿命服从位置-尺度参数模型产品可靠度的估计。
补充资料:参数
分子式:
CAS号:
性质:对指定应用而言,它可以是赋予的常数值;在泛指时,它可以是一种变量,用来控制随其变化而变化的其他的量。
CAS号:
性质:对指定应用而言,它可以是赋予的常数值;在泛指时,它可以是一种变量,用来控制随其变化而变化的其他的量。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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