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- W1187669872 abstract "Abstract In this chapter, the estimation of relevant analytical figures of merit is reviewed, from univariate to multivariate and multiway calibration: sensitivity, limit of detection, and other analytical parameters. After a brief discussion on data properties, models, and algorithms, different sensitivity expressions are presented, based on the concept of net analyte signal as a function of concentration, and those derived from uncertainty propagation, as applied to univariate, first-order, and multiway (higher-order) calibrations. Relevant algorithms for which figures of merit are detailed are those based on multilinear decomposition, multivariate curve resolution-alternating least-squares, and partial least-squares with residual multilinearization. Comparison is made of the values furnished by the discussed expressions in going from lower- to higher-order data." @default.
- W1187669872 created "2016-06-24" @default.
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- W1187669872 date "2015-01-01" @default.
- W1187669872 modified "2023-10-09" @default.
- W1187669872 title "Figures of Merit in Multiway Calibration" @default.
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- W1187669872 doi "https://doi.org/10.1016/b978-0-444-63527-3.00013-8" @default.
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