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{ "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/81/191/624/9811916241_b.jpg", "price_data" : { "retail_price" : "249.99", "online_price" : "249.99", "our_price" : "249.99", "club_price" : "249.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Chemometric Methods in Analytical Spectroscopy Technology|Xiaoli Chu

Chemometric Methods in Analytical Spectroscopy Technology

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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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