{
"item_title" : "Chemometric Methods in Analytical Spectroscopy Technology",
"item_author" : [" Xiaoli Chu", "Yue Huang", "Yong-Huan Yun "],
"item_description" : "Introduction.- Modern Spectroscopic Analysis Technology.- Basis of Matrix and Mathematical Statistics.- Preprocessing Methods in Spectroscopy Analysis.- Wavelength Variable Selection Method.- Spectral Dimensionality Reduction Method.- Linear Regression Method.- Non-Linear Regression Method.- Selection of Representative samples.- Outlier Detection Method.- Calibration Model Maintenance.- Pattern Recognition.- Evaluation of Model Performance.- Ways to Improve Model Predictive Ability.- Multi-spectral Fusion Technology.- Multi-way Resolution and Calibration.- Calibration Transfer Method.- Deep Learning Algorithms.- Chemometrics Software and Toolbox.- Discussions.",
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Chemometric Methods in Analytical Spectroscopy Technology
Other Available Formats
Overview
Introduction.- Modern Spectroscopic Analysis Technology.- Basis of Matrix and Mathematical Statistics.- Preprocessing Methods in Spectroscopy Analysis.- Wavelength Variable Selection Method.- Spectral Dimensionality Reduction Method.- Linear Regression Method.- Non-Linear Regression Method.- Selection of Representative samples.- Outlier Detection Method.- Calibration Model Maintenance.- Pattern Recognition.- Evaluation of Model Performance.- Ways to Improve Model Predictive Ability.- Multi-spectral Fusion Technology.- Multi-way Resolution and Calibration.- Calibration Transfer Method.- Deep Learning Algorithms.- Chemometrics Software and Toolbox.- Discussions.
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Details
- ISBN-13: 9789811916243
- ISBN-10: 9811916241
- Publisher: Springer
- Publish Date: May 2022
- Dimensions: 9.21 x 6.14 x 1.31 inches
- Shipping Weight: 2.26 pounds
- Page Count: 595
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