Up- and down-dating procedures for linear \(L_ 1\) regression

DOI10.1007/BF01719847zbMath0522.65099MaRDI QIDQ1056217

C. Wilms, U. Peters

Publication date: 1983

Published in: OR Spektrum (Search for Journal in Brave)

zbMATH Keywords

least squares regressionlinear L1 regressionup- and down-dating columns and rows

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Linear regression; mixed models (62J05) Algorithms for approximation of functions (65D15) Probabilistic methods, stochastic differential equations (65C99)

Related Items (3)

Algorithm: Clusterwise linear least absolute deviations regression ⋮ A fast algorithm for clusterwise linear absolute deviations regression ⋮ On spline estimators and prediction intervals in nonparametric regression.

Uses Software

• Algorithm 551
• Algorithm 478
• Algorithm 564

Cites Work

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• Selection of Variables in Linear Regression Using the Minimum Sum of Weighted Absolute Errors Criterion
• A revised simplex algorithm for the absolute deviation curve fitting problem
• A Test Problem Generator for Discrete Linear L ₁ Approximation Problems
• Algorithm 564: A Test Problem Generator for Discrete Linear L ₁ Approximation Problem
• Reorthogonalization and Stable Algorithms for Updating the Gram-Schmidt QR Factorization
• Numerically Stable Methods for Updating Regressions
• A Procedure for Optimal Stepwise MSAE Regression Analysis
• Sensitivitätsanalysen und parametrische Programmierung
• An Improved Algorithm for Discrete $l_1 $ Linear Approximation
• Norms for Smoothing and Estimation

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