Simulation based validity testing of an outlier accomodation method for minimax absolute error regression

DOI10.1016/0305-0548(93)90008-7zbMath0782.65163OpenAlexW2092018906MaRDI QIDQ2367053

Marvin D. Troutt, Suresh K. Tadisina

Publication date: 16 August 1993

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

Full work available at URL: https://doi.org/10.1016/0305-0548(93)90008-7

zbMATH Keywords

mixed integer programmingidentification of outliersminimax absolute error regressionvalidity test

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 (1)

A comparative study of the effect of the position of outliers on classical and nontraditional approaches to the two-group classification problem

Cites Work

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

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