Least absolute value estimation in regression models: an annotated bibliography

DOI10.1080/03610928408828697zbMath0551.62043OpenAlexW2070229345MaRDI QIDQ3343262

Terry E. Dielman

Publication date: 1984

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

Full work available at URL: https://doi.org/10.1080/03610928408828697

zbMATH Keywords

Bibliographyapproximation theorysystems of equationsleast absolute value estimation

Mathematics Subject Classification ID

Numerical smoothing, curve fitting (65D10) Linear regression; mixed models (62J05) General nonlinear regression (62J02) Probabilistic methods, stochastic differential equations (65C99)

Related Items (7)

Robust piecewise linear L₁-regression via nonsmooth DC optimization ⋮ Least Absolute Regression Revisited ⋮ Robust mixture multivariate linear regression by multivariate Laplace distribution ⋮ Least absolute value regression: recent contributions ⋮ Robust mixture regression model fitting by Laplace distribution ⋮ Distributionally robust \(L_1\)-estimation in multiple linear regression ⋮ Algorithms for unconstrained \(L_ 1\) simple linear regression

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