On high breakdown point estimation
type: Item
instance of: scholarly article
title: On high breakdown point estimation
zbMATH Open document ID: 0933.62015
author: Jan Ámos Víšek
published in: Computational Statistics
publication date: 2000-03-02T00:00:00Z
review text: The linear regression model \(Y_i=\sum_{j=1}^pX_{ij}\beta_j+e_i\), \(i=1,2,...\), is considered. The aim of paper is to clarify the behaviour of high breakdown point estimators for this model. The performance of new algorithms for the least median of squares and the least trimmed squares is discussed. Some numerical examples are considered and it is shown that some caution is inevitable.
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62F35
zbMATH DE Number: 1409717
zbMATH Keywords: diagnostics by high breakdown points
zbMATH Keywords: diversity of estimates
zbMATH Keywords: LMS and LTS
zbMATH Keywords: heuristics of high breakdown points
zbMATH Keywords: new algorithms
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 1409717