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d-optimality
Vertaling van "d-optimality" in Chinees
D 最优性
Bayesian D-optimality estimates a specified set of model parameters precisely.
Bayesian D 最优性可准确估计指定的一组模型参数。
The D-optimality criterion is dependent on the assumed model.
D 最优性准则依赖于假设模型。
The D-optimality criterion minimizes the determinant of the covariance matrix of the model coefficient estimates.
D 最优性准则将模型系数估计值的协方差矩阵的行列式最小化。
The Bayesian D-optimality criterion is the expectation of the logarithm of the determinant of the information matrix with respect to a sample of parameter vectors that represents this prior probability distribution.
Bayesian D 最优性准则是信息矩阵对表示该先验概率分布的参数向量样本求得的行列式的对数期望值。
The I-optimality criterion is more appropriate than D-optimality if your primary experimental goal is not to estimate coefficients, but rather to do the following
若您的主要实验目标不是估计系数，而是执行以下操作，则 I 最优性准则比 D 最优性更合适：
In contrast, D-optimality focuses on reducing prediction variance at the design points. Previous  Â
相比之下，D 最优设计则侧重于在设计点处减小预测方差。
But at the same time, Bayesian D-optimality has the ability to estimate other, typically higher-order effects, as allowed by the run size.
但同时，Bayesian D 最优性有能力估计其他效应，通常为高阶效应（在试验规模允许的情况下 ） 。
The objective function is the Bayesian D-optimality criterion.
目标函数是 Bayesian D 最优性准则。
When there are potentially active terms that are not included in the assumed model, a better approach is to specify If Possible terms and to use a Bayesian D-optimal design. Bayesian D-Optimality
若存在可能活跃的项未包含在假设模型中，更好的方法是指定"若可能"项并使用 Bayesian D 最优设计。 Bayesian D 最优性
The D-optimality criterion attempts to keep the relative prediction variance low at each of these design points.
D 最优性准则尝试在以上每一个设计点保持相对预测方差较低。
D-Optimality By default, the Custom Design platform optimizes the D-optimality criterion except when a full quadratic model is created using the RSM button.
默认情况下 ， "定制设计"平台优化 D 最优性准则，除非使用"RSM"按钮创建了完全二次模型。
The Bayesian D-optimality criterion is most effective when the number of runs is larger than the number of Necessary terms, but smaller than the sum of the Necessary and If Possible terms.
在试验次数大于"必需"项个数但小于"必需"项与"若可能"项个数之和的情况下，Bayesian D 最优性准则最为有效。
Synoniemen voor d-optimality in het Engels
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