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Robust WLS/Evidence
Method evidence record

Robust WLS

Robust WLS combines weighted least squares — which corrects for known or estimated heteroscedasticity — with robust M-estimation that down-weights influential outliers. The result is a regression estimator that is simultaneously efficient under non-constant error variance and resistant to observations that would otherwise distort coefficient estimates.

Sources recorded, not reviewed

Source record

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

Robust Weighted Least Squares
Taxonomic method record · regression-model / econometrics
  • Huber, P. J. (1981). Robust Statistics. Wiley. · ISBN 978-0471418054
  • Greene, W. H. (2018). Econometric Analysis (8th ed.). Pearson. · ISBN 978-0134461366
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Related methods

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

Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyQuantile Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust GLSmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust OLSmachine-suggested · Relational suggestion, not evidence.Same method familyWeighted Least Squaresmachine-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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