Least Median of Squares Regression¶
Rousseeuw, P. J. (1984). Least Median of Squares Regression. Journal of the American Statistical Association.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Domain-specific¶
- Robust Regression
- Least-trimmed-squares or an S-estimator seeks a fit supported by a large low-residual subset, providing high finite-sample breakdown; an MM procedure can then recover efficiency with a controlled final M-step
This sourceIntroduces least median of squares, the fit supported by the narrowest strip covering half the observations, attaining close to 50% breakdown when the trimming is set accordingly; the S- and MM- constructions are separate later work.
Supported in partVerified against the source
- Least-trimmed-squares or an S-estimator seeks a fit supported by a large low-residual subset, providing high finite-sample breakdown; an MM procedure can then recover efficiency with a controlled final M-step
Verification¶
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Registry ID ref:071934fdfa71 · see in the full table