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.
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
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
No curated claims yet
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.