minimax loss
英
美
尽可能减少损失后的最大损失
双语例句
- The Linear Minimax Estimation of Regression Coefficient Under Balanced Loss Function
平衡损失下回归系数的线性Minimax估计 - The linear minimax estimator of stochastic regression coefficients and parameters under matrix loss function;
矩阵损失下随机回归系数和参数的线性Minimax估计（英文） - In this paper, we consider the Minimax admissible estimates of the multivariate regression coefficient in the constraint growth curve model under a matrix loss function.
本文在一种新的矩阵损失函数下，给出了随机回归系数和参数同时估计在齐次线性估计类和非齐次线性估计类中可容许的充分必要条件。 - The linear minimax estimation of regression coefficient in a general Gauss-Markov Model under balanced loss function
平衡损失下一般Gauss-Markov模型中回归系数的线性Minimax估计 - The Minimax Estimate for Restricted Multivariate Regression Coefficient Under Matrix Loss Function
矩阵损失下带约束的多元回归系数的Minimax估计 - The linear Minimax Estimators of expected vector under relative loss function
相对损失函数下期望向量的线性Minimax估计 - The linear minimax estimate of a subset of parameters under matrix loss function
矩阵损失下一个参数子集的线性MINIMAX估计 - The Partial Linear Minimax Prediction in Finite Populations Under Matrix Loss Function
矩阵损失下有限总体中的局部线性Minimax预测 - In this paper minimax estimation of the bounded parameter of truncated distributions under absolute loss function is considered.
对于截断型分布，当其参数位于某一小区间内时，参数在绝对损失函数下的极小极大估计在本文中进行了讨论。 - Linear Minimax Estimation in Regression Coefficient with Ellipsoidal Constraints Under Matrix Loss Function
受椭球约束回归系数在矩阵损失下的线性minimax估计 - Minimax estimation in scale parameter families as the parameter interval being bounded under squared loss function
平方损失下区间有界的尺度函数极小极大估计 - The Linear Admissible and Minimax Estimators in Seemingly Unrelated Regression Model under Matrix Loss
矩阵损失下一类相依回归模型中的线性容许估计和Minimax估计 - The Minimax admissibility of linear estimates with respect to restricted multivariate regression coefficient under matrix loss function is considered. A necessary and sufficient condition is given to ensure the Minimax admissibility for a class of linear estimates.
在矩阵损失下给出了带约束的多元回归系数线性估计在线性估计类中是Minimax可容许估计的充要条件。 - In this paper, the necessary and sufficient conditions are given for a linear estimate of parameter matrix to be Minimax admissible in the class of given linear estimates under quadratic loss function.
本文在二次损失函数下，给出了增长曲线模型参数阵的线性估计在给定的线性估计类中是Minimax可容许估计的充要条件。 - In this paper, the authors get a unique linear Minimax estimator of linear estimator about β in the class of linear estimator under two relative loss function, respectively.
在两种相对损失函数下，我们给出了线性估计在线性估计类中的唯一的线性Minimax估计。 - Under the quadratic loss, the authors obtain the unique minimax estimator of linear estimable functions in the class of all estimators.
在二次损失下，得到了线性可估函数在一切估计类中的唯一Minimax估计。 - The minimax admissibility of the regression coefficient in the Gauss-Markov model and in the multivariate model under matrix loss has been discussed deeply by some people.
在矩阵损失下、对于一般Gauss-Markov模型及其多元线性模型的回归系数的Minimax可容许性，已经有人作了较深入的研究。 - The Minimax Admissibility of the Estimable Function and the Linear Prediction under Quadratic Loss Fuction
二次损失下可估函数与线性预测的Minimax可容许性 - For arbitrary conditional estimable function, the linear conditional minimax estimator under a given quadratic loss function is defined and the unique linear conditional minimax estimator is obtained.
对任一条件可估函数，给出了二次损失下线性条件Minimax估计的定义，并得到了唯一的线性条件Minimax估计。 - The Linear Minimax Estimator of Mean Vector in Multivariate Statistics under Matrix Loss
矩阵损失下多元统计中期望向量的线性Minimax估计 - The Minimax Admissibility Characterization of Nonhomogeneous Linear Estimates with Respect to Restricted Regression Coefficients under Matrix Loss Function
矩阵损失下带约束的回归系数非齐次线性估计的Minimax可容许性的特征