A novel robust multivariate regression approach to optimize multiple surfaces

DOI10.1051/RO/2018016zbMath1420.62351OpenAlexW2789349620MaRDI QIDQ4634320

Mir Mehdi Seyyed Esfahani, Amir Moslemi

Publication date: 7 May 2019

Published in: RAIRO - Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1051/ro/2018016

zbMATH Keywords

simultaneous equation systemsresponse surface estimationglobal criterion methodMahalanobis distancesmulti-responsecorrelated responsesmultivariate robust regression

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Nonparametric robustness (62G35) Response surface designs (62K20)

Cites Work

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• Large Sample Properties of Generalized Method of Moments Estimators
• Three-Stage Least Squares: Simultaneous Estimation of Simultaneous Equations
• Optimization of probabilistic multiple response surfaces
• A comparative study of robust designs for M-estimated regression models
• A general framework for multiresponse optimization problems based on goal programming
• A Generalized Classical Method of Linear Estimation of Coefficients in a Structural Equation
• Robust regression through robust covariances
• L-Estimation for Linear Models
• The Maximum Likelihood and the Nonlinear Three-Stage Least Squares Estimator in the General Nonlinear Simultaneous Equation Model
• Robust Statistics
• An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias
• Robust Statistics

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