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Cited by 930

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Selectivity, local rank, three‐way data analysis and ambiguity in multivariate curve resolution

Tauler, Romà, Smilde, Age, Kowalski, Bruce·1995·Journal of Chemometrics

Abstract

A new multivariate curve resolution method is presented and tested with data of various levels of complexity. Rotational and intensity ambiguities and the effect of selectivity on resolution are the focus. Analysis of simulated data provides the general guidelines concerning the conditions for uniqueness of a solution for a given problem. Multivariate curve resolution is extended to the analysis of three‐way data matrices. The particular case of three‐way data where only one of the orders is common between slices is studied in some detail.

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Metadata

Authors
Tauler, R., Smilde, A., & Kowalski, B.
Venue
Journal of Chemometrics
Publisher
Wiley
Published
1995-01
Volume
9
Issue
1
Pages
31-58
ISSN
  • 0886-9383 (ISSN-L)
  • 1099-128X
OpenAlex
W2092280582
Cited by
930
References
0
FWCI
13.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Selectivity, local rank, three‐way data analysis and ambiguity in multivariate curve resolution. https://app.cochat.ai/papers/10.1002/cem.1180090105
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Tauler, R., Smilde, A., & Kowalski, B. (1995). Selectivity, local rank, three‐way data analysis and ambiguity in multivariate curve resolution. Journal of Chemometrics. https://doi.org/10.1002/cem.1180090105

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.