L1for the simple linear regression model

DOI10.1080/03610928708829464zbMath0621.62071OpenAlexW2088113470MaRDI QIDQ3757196

Hasik Sunwoo, Byung Chun Kim

Publication date: 1987

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928708829464

zbMATH Keywords

algorithmL1-estimationleast absolute valuesdirect descent method

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Linear regression; mixed models (62J05) Probabilistic methods, stochastic differential equations (65C99)

Related Items (1)

Least absolute value regression: recent contributions

Cites Work

• On L1 and Chebyshev estimation
• Linear Programming Techniques for Regression Analysis
• Algorithm AS 132: Least Absolute Value Estimates for a Simple Linear Regression Problem
• A new descent algorithm for the least absolute value regression problem
• The linear regression model: L_pnorm estimation and the choice of p
• Nonuniqueness of least absolute values regression
• Minimization Techniques for Piecewise Differentiable Functions: The $l_1$ Solution to an Overdetermined Linear System
• An Improved Algorithm for Discrete $l_1 $ Linear Approximation

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