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Nonlinear OLS/Evidence
Method evidence record

Nonlinear OLS

Nonlinear Ordinary Least Squares (NLS) estimates regression models in which the conditional mean function is nonlinear in the parameters. Like standard OLS it minimises the sum of squared residuals, but because no closed-form solution exists the estimator is found by iterative numerical optimisation. Under standard regularity conditions NLS is consistent and asymptotically normal.

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Source record

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

Nonlinear Ordinary Least Squares
Taxonomic method record · regression-model / econometrics
  • 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
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Claims persisted in the evidence ledger, each with its own assessment.

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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 familyMaximum Likelihood Estimationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketNonlinear ARDLmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketNonlinear GLSmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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