An \(M\)-estimation-based procedure for determining the number of regression models in regression clustering (Q933900)
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: An \(M\)-estimation-based procedure for determining the number of regression models in regression clustering |
scientific article; zbMATH DE number 5304406
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | An \(M\)-estimation-based procedure for determining the number of regression models in regression clustering |
scientific article; zbMATH DE number 5304406 |
Statements
An \(M\)-estimation-based procedure for determining the number of regression models in regression clustering (English)
0 references
28 July 2008
0 references
Summary: In this paper, a procedure based on \(M\)-estimation to determine the number of regression models for the problem of regression clustering is proposed. We have shown that the true classification is attained when \(n\) increases to infinity under certain mild conditions, for instance, without assuming normality of the distribution of the random errors in each regression model.
0 references
0 references
