An efficient methodology to select high-performance M-estimators for robust data reconciliation-Reference-Cited by-同舟云学术

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An efficient methodology to select high-performance M-estimators for robust data reconciliation

Published:2023-08 Issue: Volume:176 Page:108297
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Llanos Claudia E.^ORCID,Sánchez Mabel C.

Funder

Universidad Nacional del Sur

Universidad Nacional de Salta

Consejo Nacional de Investigaciones Científicas y Técnicas

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference22 articles.

1. A. review on robust M-Estimators for regression analysis;de Menezes;Comput. Chem. Eng.,2021

2. Theory and practice of simultaneous data reconciliation and gross error detection for chemical processes;Özyurt;Comput. Chem. Eng.,2004

3. Robust estimators for data reconciliation;Llanos;Ind. Eng. Chem. Res.,2015

4. Robust data reconciliation in chemical reactors;da Cunha;Comput. Chem. Eng.,2020

5. Learning with the maximum correntropy criterion induced losses for regression;Feng;J. Mach. Learn. Res.,2015

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