Kennard-Stone method outperforms the Random Sampling in the selection of calibration samples in SNPs and NIR data
Summary
Kennard-Stone method outperforms the Random Sampling in the selection of calibration samples in SNPs and NIR data is a scholarly article[1].
Key Facts
Kennard-Stone method outperforms the Random Sampling in the selection of calibration samples in SNPs and NIR data's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Kennard-Stone method outperforms the Random Sampling in the selection of calibration samples in SNPs and NIR data. Retrieved May 24, 2026, from https://4ort.xyz/entity/kennard-stone-method-outperforms-the-random-sampling-in-the-selection-of-calibration-samples-in-snps-and-nir-data
MLA“Kennard-Stone method outperforms the Random Sampling in the selection of calibration samples in SNPs and NIR data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/kennard-stone-method-outperforms-the-random-sampling-in-the-selection-of-calibration-samples-in-snps-and-nir-data.
BibTeX@misc{4ortxyz_kennard-stone-method-outperforms-the-random-sampling-in-the-selection-of-calibration-samples-in-snps-and-nir-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Kennard-Stone method outperforms the Random Sampling in the selection of calibration samples in SNPs and NIR data}}, year = {2026}, url = {https://4ort.xyz/entity/kennard-stone-method-outperforms-the-random-sampling-in-the-selection-of-calibration-samples-in-snps-and-nir-data}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Kennard-Stone method outperforms the Random Sampling in the selection of calibration samples in SNPs and NIR data — https://4ort.xyz/entity/kennard-stone-method-outperforms-the-random-sampling-in-the-selection-of-calibration-samples-in-snps-and-nir-data (retrieved 2026-05-24)