方法证据记录
Nonlinear WLS
Nonlinear Weighted Least Squares combines the flexibility of nonlinear regression with the variance-stabilizing power of observation-level weights. It minimises a weighted sum of squared residuals around a user-specified nonlinear mean function, making it the method of choice when the relationship is inherently nonlinear and error variance differs across observations.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Nonlinear Weighted Least Squares
分类方法记录 · regression-model / econometrics
- Greene, W. H. (2018). Econometric Analysis (8th ed.). Pearson Education. · ISBN 978-0134461366
- Bates, D. M., & Watts, D. G. (1988). Nonlinear Regression Analysis and Its Applications. John Wiley & Sons. · ISBN 978-0471816430
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