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非线性OLS(非线性最小二乘法)

非线性普通最小二乘法(NLS)估计条件均值函数在参数上是非线性的回归模型。与标准OLS一样,它最小化残差平方和,但由于不存在闭式解,因此估计量是通过迭代数值优化找到的。在标准的正则条件下,NLS是一致的且渐近正态的。

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来源

  1. Gallant, A. R. (1987). Nonlinear Statistical Models. John Wiley & Sons. ISBN: 978-0471802600
  2. Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586

如何引用本页

ScholarGate. (2026, June 3). Nonlinear Ordinary Least Squares. ScholarGate. https://scholargate.app/zh/econometrics/nonlinear-ols

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被引用于

ScholarGateNonlinear OLS (Nonlinear Ordinary Least Squares). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/nonlinear-ols · 数据集: https://doi.org/10.5281/zenodo.20539026