A new technique for curve fitting based on minimum absolute deviations

DOI10.1016/0167-9473(88)90074-6zbMath0726.62112OpenAlexW2082623838MaRDI QIDQ804184

G. S. Christensen, S. A. Soliman, A. H. Rouhi

Publication date: 1988

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

Full work available at URL: https://doi.org/10.1016/0167-9473(88)90074-6

zbMATH Keywords

optimal controlcurve fittingleast squaresminimum absolute deviationsnoniterative technique

Mathematics Subject Classification ID

Numerical smoothing, curve fitting (65D10) Linear regression; mixed models (62J05) Linear inference, regression (62J99)

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Simultaneous estimation of quantile curves using quantile sheets ⋮ An example showing that a new technique for LAV estimation breaks down in certain cases ⋮ Discussion of ``An example showing that a new technique for LAV estimation breaks down in certain cases ⋮ New approach for the identification of power system economic dispatch parameters ⋮ Least absolute value regression: recent contributions ⋮ A note on recent proposals for computing \(l_ 1\) estimates ⋮ Applied regression analysis bibliography update 1988-89

Cites Work

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• Stochastic models, estimation, and control. Vol. 1
• Algorithms for best \(L_ 1\) and \(L_ \infty\) linear approximations on a discrete set
• On L1 and Chebyshev estimation
• Linear Curve Fitting Using Least Deviations
• Using the $L_2 $-Estimator in $L_1 $-Estimation
• An Efficient Algorithm for Discrete $l_1$ Linear Approximation with Linear Constraints
• An Iterative Technique for Absolute Deviations Curve Fitting
• An Improved Algorithm for Discrete $l_1 $ Linear Approximation

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