Therefore, the robust least square method with some additional conditions at the breakdown ratio being 20% was employed for optimal estimation of Muskingum parameters.
为此，采用崩溃率为20%、附有条件的抗差最小二乘法估计马斯京根汇流参数最优值。
The problem of estimating time-varying parameters of econometric models is discussed, by analysing the normal moving window method. A new estimation method-optimal moving window method is proposed.
本文在分析普通移动窗法的基础上，对计量经济模型的时变参数估计问题，提出了一种新的估计方法—最优移动窗法。
A sequential procedure was adopted for the discrimination of these models with the experimental data, and for the precise estimation of the parameters in the optimal models.
运用序贯实验设计方法，用所得的实验数据对这些模型进行筛选，并对所选出的最优模型进行参数精估。
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