Chemometric classification techniques as a tool for solving problems in analytical chemistry

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Chemometric classification techniques as a tool for solving problems in analytical chemistry. / Bevilacqua, Marta; Nescatelli, Riccardo; Bucci, Remo; Magrì, Andrea D.; Magrì, Antonio L.; Marini, Federico.

In: Journal of AOAC International, Vol. 97, No. 1, 2014, p. 19-28.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Bevilacqua, M, Nescatelli, R, Bucci, R, Magrì, AD, Magrì, AL & Marini, F 2014, 'Chemometric classification techniques as a tool for solving problems in analytical chemistry', Journal of AOAC International, vol. 97, no. 1, pp. 19-28. https://doi.org/10.5740/jaoacint.SGEBevilacqua

APA

Bevilacqua, M., Nescatelli, R., Bucci, R., Magrì, A. D., Magrì, A. L., & Marini, F. (2014). Chemometric classification techniques as a tool for solving problems in analytical chemistry. Journal of AOAC International, 97(1), 19-28. https://doi.org/10.5740/jaoacint.SGEBevilacqua

Vancouver

Bevilacqua M, Nescatelli R, Bucci R, Magrì AD, Magrì AL, Marini F. Chemometric classification techniques as a tool for solving problems in analytical chemistry. Journal of AOAC International. 2014;97(1):19-28. https://doi.org/10.5740/jaoacint.SGEBevilacqua

Author

Bevilacqua, Marta ; Nescatelli, Riccardo ; Bucci, Remo ; Magrì, Andrea D. ; Magrì, Antonio L. ; Marini, Federico. / Chemometric classification techniques as a tool for solving problems in analytical chemistry. In: Journal of AOAC International. 2014 ; Vol. 97, No. 1. pp. 19-28.

Bibtex

@article{cb37eb9336fe498eb49eefd6e021e44f,
title = "Chemometric classification techniques as a tool for solving problems in analytical chemistry",
abstract = "Supervised pattern recognition (classification) techniques, i.e., the family of chemometric methods whose aim is the prediction of a qualitative response on a set of samples, represent a very important assortment of tools for solving problems in several areas of applied analytical chemistry. This paper describes the theory behind the chemometric classification techniques most frequently used in analytical chemistry together with some examples of their application to real-world problems.",
author = "Marta Bevilacqua and Riccardo Nescatelli and Remo Bucci and Magr{\`i}, {Andrea D.} and Magr{\`i}, {Antonio L.} and Federico Marini",
year = "2014",
doi = "10.5740/jaoacint.SGEBevilacqua",
language = "English",
volume = "97",
pages = "19--28",
journal = "Journal of AOAC International",
issn = "1060-3271",
publisher = "Association of Analytical Communities",
number = "1",

}

RIS

TY - JOUR

T1 - Chemometric classification techniques as a tool for solving problems in analytical chemistry

AU - Bevilacqua, Marta

AU - Nescatelli, Riccardo

AU - Bucci, Remo

AU - Magrì, Andrea D.

AU - Magrì, Antonio L.

AU - Marini, Federico

PY - 2014

Y1 - 2014

N2 - Supervised pattern recognition (classification) techniques, i.e., the family of chemometric methods whose aim is the prediction of a qualitative response on a set of samples, represent a very important assortment of tools for solving problems in several areas of applied analytical chemistry. This paper describes the theory behind the chemometric classification techniques most frequently used in analytical chemistry together with some examples of their application to real-world problems.

AB - Supervised pattern recognition (classification) techniques, i.e., the family of chemometric methods whose aim is the prediction of a qualitative response on a set of samples, represent a very important assortment of tools for solving problems in several areas of applied analytical chemistry. This paper describes the theory behind the chemometric classification techniques most frequently used in analytical chemistry together with some examples of their application to real-world problems.

U2 - 10.5740/jaoacint.SGEBevilacqua

DO - 10.5740/jaoacint.SGEBevilacqua

M3 - Journal article

C2 - 24672856

AN - SCOPUS:84893674159

VL - 97

SP - 19

EP - 28

JO - Journal of AOAC International

JF - Journal of AOAC International

SN - 1060-3271

IS - 1

ER -

ID: 228375512