Intervals which Leave the Minimum Sum of Absolute Errors Regression Unchanged

DOI10.2307/2986239zbMath0825.62582OpenAlexW2472389618MaRDI QIDQ4844023

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Publication date: 17 August 1995

Published in: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2986239

zbMATH Keywords

linear programmingminimum sum of absolute errors regressionweighted medianstatistical technique

Mathematics Subject Classification ID

Linear regression; mixed models (62J05)

Related Items (2)

Sensitivity analysis of constrained linear \(L_1\) regression: perturbations to response and predictor variables ⋮ Sensitivity analysis for predictor variables in the MSAE regression.

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