Parallel algorithms for least median of squares regression

DOI10.1016/0167-9473(93)90135-GzbMath0937.62539OpenAlexW2018059592MaRDI QIDQ1361581

Chong-wei Xu, Wei-Kei Shiue

Publication date: 25 August 1997

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(93)90135-g

zbMATH Keywords

parallel algorithmload balancingleast median of squares regressionsweep-line algorithm

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

The determination of a ``least quantile of squares regression line for all quantiles ⋮ Maximum trimmed likelihood estimators: a unified approach, examples, and algorithms

Cites Work

• Algorithms and complexity for least median of squares regression
• Least Median of Squares Regression
• Time- and Space-Efficient Algorithms for Least Median of Squares Regression
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