The optimal linear linear prediction experiential optimal linear prediction and optimal linear unbiased prediction in the general growth curve model are obtained.
研究了一般增长曲线模型未来观察的预测问题，在一定条件下得到了它的最优线性预测量，经验最优线性预测量，最优线性无偏预测量。
To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
The problem of conditional optimal prediction for conditional linear predictable variable in the general growth curve model is investigated.
研究了带线性等式约束下增长曲线模型中条件可预测变量的最优预测。
The grey modeling and the idea of pre-control in grey prediction control theory can well remedy the defects of exact linearization and after-control in linear optimal control theory.
灰色预测控制理论中灰色建模和“超前控制”的思想较好地弥补了线性最优控制理论中精确线性化和“事后控制”的不足。
The conditional optimal prediction of the conditional predictable variable in the multivariate linear model with arbitrary rank and linear equality constrains was investigated.
研究了任意秩多元线性模型中最优线性无偏预测的稳健性，即对任一线性可预测变量，得到了其关于协方差矩阵具有稳健性的充要条件。
Solve the optimal design problem for prediction of multi-response linear models.
解决了多响应线性模型预测的试验设计问题。
Solve the optimal design problem for prediction of multi-response linear models.
解决了多响应线性模型预测的试验设计问题。
应用推荐