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The application of statistical preprocessing on spectral data does not always guarantee the improvement of the predictive quality of multivariate models: Case of soil spectroscopy applied to Moroccan soils
Research article (Vibrational Spectroscopy, 2022) · cited 29× · AI/ML
The application of statistical preprocessing on spectral data does not always guarantee the improvement of the predictive quality of multivariate models: Case of soil spectroscopy applied to Moroccan soils
Summary
The application of statistical preprocessing on spectral data does not always guarantee the improvement of the predictive quality of multivariate models: Case of soil spectroscopy applied to Moroccan soils is a scholarly article[1].
Key Facts
The application of statistical preprocessing on spectral data does not always guarantee the improvement of the predictive quality of multivariate models: Case of soil spectroscopy applied to Moroccan soils's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). The application of statistical preprocessing on spectral data does not always guarantee the improvement of the predictive quality of multivariate models: Case of soil spectroscopy applied to Moroccan soils. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-application-of-statistical-preprocessing-on-spectral-data-does-not-always-guarantee-the-improvement-of-the-predictiv
MLA“The application of statistical preprocessing on spectral data does not always guarantee the improvement of the predictive quality of multivariate models: Case of soil spectroscopy applied to Moroccan soils.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-application-of-statistical-preprocessing-on-spectral-data-does-not-always-guarantee-the-improvement-of-the-predictiv.
BibTeX@misc{4ortxyz_the-application-of-statistical-preprocessing-on-spectral-data-does-not-always-guarantee-the-improvement-of-the-predictiv_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The application of statistical preprocessing on spectral data does not always guarantee the improvement of the predictive quality of multivariate models: Case of soil spectroscopy applied to Moroccan soils}}, year = {2026}, url = {https://4ort.xyz/entity/the-application-of-statistical-preprocessing-on-spectral-data-does-not-always-guarantee-the-improvement-of-the-predictiv}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The application of statistical preprocessing on spectral data does not always guarantee the improvement of the predictive quality of multivariate models: Case of soil spectroscopy applied to Moroccan soils — https://4ort.xyz/entity/the-application-of-statistical-preprocessing-on-spectral-data-does-not-always-guarantee-the-improvement-of-the-predictiv (retrieved 2026-05-24)
