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Multivariate Calibration

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Chemometrics in Electroanalysis

Part of the book series: Monographs in Electrochemistry ((MOEC))

Abstract

A brief description is given of the main methods of multivariate calibration, including classical least squares (CLS), inverse least squares (ILS), principal component regression (PCR) and partial least squares (PLS) as typical linear methods. Artificial neural networks (ANN) are also discussed as an example of calibration strategy especially designed for non-linear data. Several examples taken from literature are included to illustrate the application of multivariate calibration to the resolution of analytical problems by using electroanalytical measurements.

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Authors and Affiliations

  1. Faculty of Chemistry, University of Barcelona, Barcelona, Spain

    José Manuel Díaz-Cruz, Miquel Esteban & Cristina Ariño

Authors
  1. José Manuel Díaz-Cruz
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  2. Miquel Esteban
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  3. Cristina Ariño
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Díaz-Cruz, J.M., Esteban, M., Ariño, C. (2019). Multivariate Calibration. In: Chemometrics in Electroanalysis. Monographs in Electrochemistry. Springer, Cham. https://doi.org/10.1007/978-3-030-21384-8_5

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