A general Bahadur representation of \(M\)-estimators and its application to linear regression with nonstochastic designs (Q1354473)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: A general Bahadur representation of \(M\)-estimators and its application to linear regression with nonstochastic designs |
scientific article; zbMATH DE number 1006626
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A general Bahadur representation of \(M\)-estimators and its application to linear regression with nonstochastic designs |
scientific article; zbMATH DE number 1006626 |
Statements
A general Bahadur representation of \(M\)-estimators and its application to linear regression with nonstochastic designs (English)
0 references
3 August 1997
0 references
asymptotic approximation
0 references
minimum Lp-distance estimators
0 references
bounded influence GM-estimators
0 references
strong Bahadur representations
0 references
\(M\)-estimators
0 references
regression quantiles
0 references
error rates
0 references
0 references
0 references
0 references
