Chemometric methods in analytical spectroscopy technology/ Xiaoli Chu, Yue Huang, Yong-Huan Yun, Xihui Bian.
Chu, Xiaoli.; Huang, Yue.; Yun, Yong-Huan.; Bian, Xihui.
2022
QD75.4.C45
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Chemometric methods in analytical spectroscopy technology/ Xiaoli Chu, Yue Huang, Yong-Huan Yun, Xihui Bian.
Author Chu, Xiaoli.
ISBN 9789811916250 (electronic bk.)
981191625X (electronic bk.)
9811916241
9789811916243
DOI https://doi.org/10.1007/978-981-19-1625-0
Publication Details Singapore : Springer, 2022.
Language English
Description 1 online resource
Item Number 10.1007/978-981-19-1625-0 doi
Call Number QD75.4.C45
Dewey Decimal Classification 543.01/5195
Summary This book discusses chemometric methods for spectroscopy analysis including NIR, MIR, Raman, NMR, and LIBS, from the perspective of practical applied spectroscopy. It covers all aspects of chemometrics associated with analytical spectroscopy, including representative sample selection algorithm, outlier detection algorithm, model updating and maintenance algorithm and strategy and calibration performance evaluation methods.To provide a systematic and comprehensive overview the latest progress of chemometric methods including recent scientific research and practical applications are presented. In addition the book also highlights the improvement of classical algorithms and the extension of common strategies. It is therefore useful as a reference book for researchers engaged in analytical spectroscopy technology, chemometrics, analytical instruments and other related fields.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 10, 2022).
Added Author Huang, Yue.
Yun, Yong-Huan.
Bian, Xihui.
Available in Other Form Print version: 9789811916243
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

Browse Subjects

Show more subjects...

Statistics

from
to
Export