Multivariate linear regression with variable selection by a successive projections algorithm applied to the analysis of anodic stripping voltammetry data-Reference-Cited by-同舟云学术

Multivariate linear regression with variable selection by a successive projections algorithm applied to the analysis of anodic stripping voltammetry data

Published:2014-05 Issue: Volume:127 Page:68-78
ISSN:0013-4686
Container-title:Electrochimica Acta
language:en
Short-container-title:Electrochimica Acta

Author:

Marreto Paola D.,Zimer Alexsandro M.,Faria Ronaldo C.,Mascaro Lucia H.,Pereira Ernesto C.,Fragoso Wallace D.,Lemos Sherlan G.

Publisher

Elsevier BV

Subject

Electrochemistry,General Chemical Engineering

Reference49 articles.

1. Genetic-algorithm-based potential selection in multivariant voltammetric determination of indomethacin and acemethacin by partial least squares

2. Resolution of ternary mixtures of rifampicin, isoniazid and pyrazinamide by differential pulse polarography and partial least squares method

3. Genetic Algorithm Based Potential Selection in Simultaneous Voltammetric Determination of Isoniazid and Hydrazine by Using Partial Least Squares (PLS) and Artificial Neural Networks (ANNs)

4. Comparison of different measurement techniques and variable selection methods for FT-MIR in wine analysis

5. Simultaneous determination of hydroquinone, resorcinol, phenol, m-cresol and p-cresol in untreated air samples using spectrofluorimetry and a custom multiple linear regression-successive projection algorithm

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