The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Introduction to Multivariate Statistical Analysis in Chemometrics
Abstract
Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical data. It includes discussions of various statistical methods, such as
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Serneels, S., Croux, C., Filzmoser, P., & Van Espen, P. J. (2005) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2005.04.007 · Cited by 193
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Merghadi, A., Yunus, A. P., Dou, J., Whiteley, J., ThaiPham, B., Bui, D. T., Avtar, R., & Abderrahmane, B. (2020) · Earth-Science Reviews · doi:10.1016/j.earscirev.2020.103225 · Cited by 1,228
Soriano-Disla, J. M., Janik, L. J., Viscarra Rossel, R. A., Macdonald, L. M., & McLaughlin, M. J. (2014) · Applied Spectroscopy Reviews · doi:10.1080/05704928.2013.811081 · Cited by 848
Global, quantitative and dynamic mapping of protein subcellular localization
Itzhak, D. N., Tyanova, S., Cox, J., & Borner, G. H. (2016) · eLife · doi:10.7554/elife.16950 · Cited by 649
Principal Component Analysis: A Natural Approach to Data Exploration
Gewers, F. L., Ferreira, G. R., Arruda, H. F. D., Silva, F. N., Comin, C. H., Amancio, D. R., & Costa, L. D. F. (2022) · ACM Computing Surveys · doi:10.1145/3447755 · Cited by 508
Trends in Chemometrics: Food Authentication, Microbiology, and Effects of Processing
Granato, D., Putnik, P., Kovačević, D. B., Santos, J. S., Calado, V., Rocha, R. S., Cruz, A. G. D., Jarvis, B., Rodionova, O. Y., & Pomerantsev, A. (2018) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12341 · Cited by 440
Metadata
- Authors
- Varmuza, K., & Filzmoser, P.
- Venue
- CRC Press eBooks
- Publisher
- CRC Press
- Published
- 2016-04-19
- OpenAlex
- W1418475881
- Cited by
- 1,228
- References
- 1
- FWCI
- 28.77
- Type
- book
- Language
- en
- Open access
- closed
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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.