论文标题
非线性血管模型的一致估计器
Consistent Estimators for Nonlinear Vessel Models
论文作者
论文摘要
在这项工作中，探索了回归器为二阶模量函数的非线性回归模型的一致参数估计器的问题。结果表明，可以通过估算非添加性环境干扰的概率分布的一阶和二阶矩量来获得一致的仪器可变估计器，该估计值与抢手模型参数并行，并以足够的膨胀和迫使仪器的静态激发偏移进行静态激发，并迫使仪器均值均值。在模拟示例中评估了所提出的方法，该示例的模型是海面血管的模型。
In this work, the issue of obtaining consistent parameter estimators for nonlinear regression models where the regressors are second-order modulus functions is explored. It is shown that consistent instrumental variable estimators can be obtained by estimating first and second-order moments of non-additive environmental disturbances' probability distributions as nuisance parameters in parallel to the sought-after model parameters, conducting experiments with a static excitation offset of sufficient amplitude and forcing the instruments to have zero mean. The proposed method is evaluated in a simulation example with a model of a marine surface vessel.
