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刻度平方误差损失函数 scaled squared error loss function英语短句 例句大全

时间:2022-12-16 06:56:28

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刻度平方误差损失函数 scaled squared error loss function英语短句 例句大全

刻度平方误差损失函数,scaled squared error loss function

1)scaled squared error loss function刻度平方误差损失函数

1.In this article,the Bayes estimation of gamma distribution parameter under thescaled squared error loss function is studied, the sample of gamma distribution x1,x2,…xn is given,it is proved that the Bayes estimation is admissible,and the Bayes interval estimation of unknown parameter is given.文中对给定容量为n的一个伽玛分布样本,在刻度平方误差损失函数下,研究了伽玛分布参数的Bayes估计,证明了这一估计是可容许的,并给出了未知参数的Bayes区间估计。

2.The Bayesian estimation of Pareto Distribution parameter under thescaled squared error loss function is studied,and the Pareto random sample X1,X2,…,Xn is given.讨论了给定容量n的一个Pareto样本X1,X2,…,Xn,在刻度平方误差损失函数下Pareto分布参数的Bayes估计,证明了这一估计是可容许的,并给出了Bayes的置信下限。

2)squared-error loss function平方损失函数

1.With respect to asquared-error loss function,Author gives a Bayesian estimation of determining the order of MA model.根据贝叶斯估计理论,在阶数和参数较为一般的先验分布及平方损失函数下,给出了MA模型阶数的贝叶斯估计,并证明了该估计方法具有强相合性。

英文短句/例句

1.Minimax Estimation of Parameter of a Class Distributions under the Squared Log Error and MLINEX Loss Functions对数误差平方损失函数和MLINEX损失函数下一类分布族参数的Minimax估计

2.The Bayesian Estimate of the Orders of MA(q) Models of Time SeriesMA模型阶数在平方损失函数下的贝叶斯估计

3.Two Loss Functions of Quality Level and Parameter Design;两类损失函数的质量水平与参数设计

4.Improvement on NPKMR Method Based on Norm-r Loss Function基于r范数损失函数的NPKMR方法改进

5.Robust Bayes Premium under Generalized Weighted Balanced-type Loss Function广义加权平衡损失函数下的稳健Bayes保费

6.Parameter Design for Asymmetric Loss Function Coefficient非对称质量损失函数系数的参数设计

7.Bayes Estimation of Several Distribution under the Entropy Loss Function;熵损失函数下几种分布参数的Bayes估计

8.Bayesian estimation of geometric distribution parameterunder entropy loss function;熵损失函数下几何分布参数的Bayes估计

9.Bayesian Estimate of Poisson Distribution Parameter Under Entropy Loss Function;熵损失函数下Poisson分布参数的Bayes估计

10.A TT & C Equipment"s Guideline Evaluation Method Based on Taguchi Quality Loss Function基于田口质量损失函数的测控设备指标评估方法

11.Relation between Geometric Convex Function, Square Convex Function and Convex Function;几何凸函数平方凸函数与凸函数的关系

12.EWMA Chart Based on Weighted-Loss-Function;基于加权损失函数下的EWMA控制图

13.Credibility Premium Under Relative Loss Function;相对损失函数下的倍度保费(英文)

14.The Study SEA Model Based on Taguchi Quality Loss Function;基于田口质量损失函数的SEA模型研究

15.A Study on Multivariate Quality Loss Functions Based on Signal-to-Noise Ratios;基于信噪比的多元质量损失函数研究

16.THE ADMISSIBLE ESTIMATES FOR QUADRATIC LOSS IN THE CASE OF DIESCRETE PARAMETER SPACE离散参数空间平方损失下的可容许估计

17.Bayes Estimation of Gamma Distribution Paremeter under the Scaled Squared Error Loss Function;刻度平方误差损失下伽玛分布参数的Bayes估计

18.The Bayes Estimation of Inverse Weibull Distribution Parameter under Square Loss Function平方损失下逆威布尔分布参数的Bayes估计

相关短句/例句

squared-error loss function平方损失函数

1.With respect to asquared-error loss function,Author gives a Bayesian estimation of determining the order of MA model.根据贝叶斯估计理论,在阶数和参数较为一般的先验分布及平方损失函数下,给出了MA模型阶数的贝叶斯估计,并证明了该估计方法具有强相合性。

3)square loss function平方损失函数

1.Under a special common model and thesquare loss function,we have got the necessary and sufficient conditions for the unbiased linear estimates  m i=1 A iy i of the common parameters β to be admissible in the class of linear estimates and in the class of homogeneous linear estimatesrespectively.本文在一特殊的共同均值模型和平方损失函数下,得到了共同均值参数β线性无偏估计∑mi=1Aiyi∑mi=1Ai=In分别在线性估计类和齐次线性估计类中为可容许估计的充要条件。

2.Under a special common mean model and thesquare loss function, this paper gives the necessary and sufficient conditions for the unbiased linear estimates Ay 1+(I-A)y 2 of the common mean parameter β to be admissible in the class of linear estimates and in the class of homogenerous linear estimates, respectively.在一特殊的共同均值模型和平方损失函数下,得到了共同均值参数β的线性无偏估计Ay1+(I-A)y2分别在线性估计类和齐次线性估计类中为可容许估计的充要条件。

4)squared log error loss function加权平方损失函数

5)quality loss smooth gradient function质量损失平滑梯度函数

6)scale error刻度误差

延伸阅读

误差平方和分子式:CAS号:性质:表示实验误差大小的偏差平方和。在相同的条件下各次测定值xi对测定平均值x的偏差平方后再加和∑(xi-x)2。

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