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Updated: Jul 4, 2025

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近红外仪器与相关的高维数据校准时的模型平均值

Deiby Tineke Salaki1, Anang Kurnia2, Bagus Sartono2

  • 1Department of Mathematics, Sam Ratulangi University, Manado, Indonesia.

Journal of applied statistics
|January 29, 2024
PubMed
概括

模型平均化 (MA) 提高了高维,多线性数据的预测准确性. 对于近红外 (NIR) 校准模型,建议采用回归模型的平均值,其性能优于传统方法.

关键词:
模型的平均值.校准校准的时间高维数据的高维数据.多对线性多对线性.接近红外光谱学近红外光谱学

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