Second- and higher-order data generation and calibration : a tutorial
An introduction to multi-way calibration based on second- and higher-order data generation and processing is provided, with emphasis on practical experimental aspects. After a discussion concerning a proper nomenclature scheme, a suitable classification of the obtainable data, and the general featur...
Guardado en:
| Autores principales: | , , , |
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| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2018
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/2133/10500 http://hdl.handle.net/2133/10500 |
| Aporte de: |
| id |
I15-R121-2133-10500 |
|---|---|
| record_format |
dspace |
| institution |
Universidad Nacional de Rosario |
| institution_str |
I-15 |
| repository_str |
R-121 |
| collection |
Repositorio Hipermedial de la Universidad Nacional de Rosario (UNR) |
| language |
Inglés |
| orig_language_str_mv |
eng |
| topic |
Multi-way Calibration Parallel Factor Analysis Multivariate Curve Resolution Partial Leastsquares |
| spellingShingle |
Multi-way Calibration Parallel Factor Analysis Multivariate Curve Resolution Partial Leastsquares Escandar, Graciela Mónica Goicoechea, Héctor Casimiro Muñoz de la Peña, Arsenio Olivieri, Alejandro César Second- and higher-order data generation and calibration : a tutorial |
| topic_facet |
Multi-way Calibration Parallel Factor Analysis Multivariate Curve Resolution Partial Leastsquares |
| description |
An introduction to multi-way calibration based on second- and higher-order data generation and processing is provided, with emphasis on practical experimental aspects. After a discussion concerning a proper nomenclature scheme, a suitable classification of the obtainable data, and the general features of the available algorithms and their underlying models, a series of examples is discussed in detail, with the purpose of illustrating the great potentiality of the field for the analytical community. Emphasis is directed toward the most popular multi-way data, i.e., second-order or matrix data, which can be conveniently measured in a variety of instruments. Third-order data are being increasingly studied and are also discussed, along with the less explored field of fourth-order data. The estimation of figures of merit, which analysts need to report during method development, is now sufficiently mature to be provided for the general audience. |
| author |
Escandar, Graciela Mónica Goicoechea, Héctor Casimiro Muñoz de la Peña, Arsenio Olivieri, Alejandro César |
| author_facet |
Escandar, Graciela Mónica Goicoechea, Héctor Casimiro Muñoz de la Peña, Arsenio Olivieri, Alejandro César |
| author_sort |
Escandar, Graciela Mónica |
| title |
Second- and higher-order data generation and calibration : a tutorial |
| title_short |
Second- and higher-order data generation and calibration : a tutorial |
| title_full |
Second- and higher-order data generation and calibration : a tutorial |
| title_fullStr |
Second- and higher-order data generation and calibration : a tutorial |
| title_full_unstemmed |
Second- and higher-order data generation and calibration : a tutorial |
| title_sort |
second- and higher-order data generation and calibration : a tutorial |
| publisher |
Elsevier |
| publishDate |
2018 |
| url |
http://hdl.handle.net/2133/10500 http://hdl.handle.net/2133/10500 |
| work_keys_str_mv |
AT escandargracielamonica secondandhigherorderdatagenerationandcalibrationatutorial AT goicoecheahectorcasimiro secondandhigherorderdatagenerationandcalibrationatutorial AT munozdelapenaarsenio secondandhigherorderdatagenerationandcalibrationatutorial AT olivierialejandrocesar secondandhigherorderdatagenerationandcalibrationatutorial |
| bdutipo_str |
Repositorios |
| _version_ |
1764820408428658689 |