A Review on Robust M-Estimators for Regression Analysis

Título:

A Review on Robust M-Estimators for Regression Analysis

Autor:

Diego Martinez Prata

Ano:

2021

DOI:

10.1016/j.compchemeng.2021.107254

Revista:

Computers & Chemical Engineering

ISSN:

00981354

Idioma:

Inglês

Buscar essa publicação no Google Acadêmico

Publicações com a mesma autoria

Eco-efficiency evaluation of acetone-methanol separation processes using computational simulation

Development of eco-efficiency comparison index through eco-indicators for industrial applications

Eco-efficiency analysis and intensification of the acetic acid purification process

Nonlinear Dynamic Data Reconciliation in Real Time in Actual Processes

Dynamic optimization of a continuous gas lift process using a mesh refining sequential method

A techno-economic evaluation of the energy generation by proton exchange membrane fuel cell using biogas reforming

Robust Data Reconciliation in Chemical Reactors

Nonlinear dynamic data reconciliation and parameter estimation through particle swarm optimization: Application for an industrial polypropylene reactor

Simulation and optimization of a continuous biodiesel plant using nonlinear programming

Multi-objective optimization of water consumption for a methanol synthesis process