Regression modelEconometrics / time series
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
- Gallant, A. R. (1987). Nonlinear Statistical Models. John Wiley & Sons. ISBN: 978-0471802600
- 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
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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- 最大似然估计统计学↔ compare
- 非线性自回归分布式滞后 (NARDL) 模型计量经济学↔ compare
- 非线性广义最小二乘 (NGLS)计量经济学↔ compare
- 普通最小二乘法 (OLS) 回归计量经济学↔ compare