In this paper, the aerodynamic parameter identification of elastic aircraft is studied by the maximum likelihood estimation algorithm using, orthogonal test table for computing sensitivities.
本文基于正交计算灵敏度的极大似然估计算法研究了弹性飞行器的气动参数辨识问题。
The parameters of Fisher distribution model are estimated by maximum likelihood, and the model is finally verified by using Pearson test.
利用所提出的快速聚类分析方法及其推导的计算公式，可以方便地求解费歇尔分布的参数。
The parameters of model are measured by taking into account the stochastic characteristic of entire test data, which is connected with a maximum likelihood method and math programming.
考虑整套试验数据的随机特性，利用极大似然法原理和数学规划法求解模型参数。
Methods On the basis of binormal model, maximum likelihood estimation was applied to areas calculation, and approximately normal method to confidence interval estimation and hypothesis test.
方法在双正态模型基础下应用ML估计方法计算ROC曲线下面积，正态近似法估计面积的可信区间及假设检验。
Methods On the basis of binormal model, maximum likelihood estimation was applied to areas calculation, and approximately normal method to confidence interval estimation and hypothesis test.
方法在双正态模型基础下应用ML估计方法计算ROC曲线下面积，正态近似法估计面积的可信区间及假设检验。
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