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• W1965657890 abstract "In this paper the application of the Multivariate Curve Resolution Alternating Least Squares method (MCR-ALS) to incomplete data multisets is explored. The experimental incomplete data multiset studied in this work is taken from a previous multiannual atmospheric monitoring study of the changes of ozone and nitrogen oxide concentrations in an air quality sampling station located in the city of Barcelona, in which some of the individual data sets were missing. Based on the preliminary results obtained in this study, new data multisets, complete and incomplete, with different levels of noise were simulated and analysed by a new variant of the MCR-ALS method which optimises a combined error function including all possible complete data subsets derived from the original incomplete data multiset. Conclusions are drawn about the effects of data completeness on the results obtained for different noise levels and on the viability of trilinear models." @default.
• W1965657890 created "2016-06-24" @default.
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• W1965657890 date "2013-08-01" @default.
• W1965657890 modified "2023-10-10" @default.
• W1965657890 title "Multivariate Curve Resolution of incomplete data multisets" @default.
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• W1965657890 doi "https://doi.org/10.1016/j.chemolab.2013.05.006" @default.
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