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Nonlinear WLS/Evidence
Method evidence record

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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Nonlinear Weighted Least Squares
Taxonomic method record · 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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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyGeneralized Least Squaresmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyWeighted Least Squaresmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

2 recorded citations, copied from the method source record.

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