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Two Stage Estimation Method in Data Processing and Simulation Analysis

机译:数据处理和仿真分析中的两阶段估计方法

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摘要

The new method presented in this paper shows an effective way of solving an estimation problem, the estimated values are nearer to their theoretical ones than in an adjustment with the method of least squares. Considering the semi-parametric adjustment models, firstly, the estimators of the parameters and the nonparametric are derived by using a kernel function and the least square method. Secondly, we discuss the approach of bandwidth choice in the semi-parametric adjustment models. Finally, a simulated adjustment problem is constructed to explain the method.
机译:本文提出的新方法展示了一种解决估计问题的有效方法,估计值比采用最小二乘法进行的调整更接近理论值。考虑半参数调整模型,首先利用核函数和最小二乘法推导参数和非参数的估计量。其次,讨论了半参数调整模型中的带宽选择方法。最后,通过模拟调整问题来解释该方法。

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