Dealing with missing data blocks in Multivariate Curve resolution. Towards a general framework based on a single factorization model-Reference-Cited by-同舟云学术

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Dealing with missing data blocks in Multivariate Curve resolution. Towards a general framework based on a single factorization model

Published:2024-10 Issue: Volume:179 Page:117869
ISSN:0165-9936
Container-title:TrAC Trends in Analytical Chemistry
language:en
Short-container-title:TrAC Trends in Analytical Chemistry

Author:

Gómez-Sánchez Adrián,Ruckebusch Cyril,Tauler Romà,de Juan Anna

Funder

Generalitat de Catalunya

Gobierno de España Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Reference33 articles.

1. Multivariate Curve Resolution: 50 years addressing the mixture analysis problem–A review;de Juan;Anal. Chim. Acta,2021

2. Two-way data analysis: multivariate curve resolution–iterative resolution methods;de Juan,2020

3. Two-way data analysis: multivariate curve resolution: noniterative resolution methods;Zhang,2020

4. Multivariate curve resolution applied to second order data;Tauler;Chemom. Intell. Lab. Sys.,1995

5. Multiset data analysis: extended multivariate curve resolution;Tauler,2020

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