A mixed integer programming approach for accommodating outliers with the minimax absolute error criterion

DOI10.1016/0305-0548(91)90099-DzbMath0757.65159OpenAlexW2068576022MaRDI QIDQ1174617

Marvin D. Troutt, Suresh K. Tadisina

Publication date: 25 June 1992

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0305-0548(91)90099-d

zbMATH Keywords

outliersnumerical exampleparameter estimationdata fittingminimax problemmixed integer programmingcurve fittingleast squares methodregressionminimax absolute error criterion

Mathematics Subject Classification ID

Numerical smoothing, curve fitting (65D10) Linear regression; mixed models (62J05) Point estimation (62F10) Applications of mathematical programming (90C90) Mixed integer programming (90C11) Probabilistic methods, stochastic differential equations (65C99)

Related Items (2)

Simulation based validity testing of an outlier accomodation method for minimax absolute error regression ⋮ A comparative study of the effect of the position of outliers on classical and nontraditional approaches to the two-group classification problem

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