LEADER 03452nam 22005775 450 001 9910574042603321 005 20251113180529.0 010 $a981-19-1625-X 024 7 $a10.1007/978-981-19-1625-0 035 $a(MiAaPQ)EBC6998239 035 $a(Au-PeEL)EBL6998239 035 $a(CKB)22893529700041 035 $a(OCoLC)1321786075 035 $a(DE-He213)978-981-19-1625-0 035 $a(EXLCZ)9922893529700041 100 $a20220523d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aChemometric Methods in Analytical Spectroscopy Technology /$fby Xiaoli Chu, Yue Huang, Yong-Huan Yun, Xihui Bian 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (596 pages) 225 1 $aChemistry and Materials Science Series 311 08$aPrint version: Chu, Xiaoli Chemometric Methods in Analytical Spectroscopy Technology Singapore : Springer,c2022 9789811916243 327 $aIntroduction -- 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. 330 $aThis book discusses chemometric methods for spectroscopy analysis including NIR, MIR, Raman, NMR, and LIBS, from the perspective of practical applied spectroscopy. It covers all aspects of chemometrics associated with analytical spectroscopy, including representative sample selection algorithm, outlier detection algorithm, model updating and maintenance algorithm and strategy and calibration performance evaluation methods.To provide a systematic and comprehensive overview the latest progress of chemometric methods including recent scientific research and practical applications are presented. In addition the book also highlights the improvement of classical algorithms and the extension of common strategies. It is therefore useful as a reference book for researchers engaged in analytical spectroscopy technology, chemometrics, analytical instruments and other related fields. 410 0$aChemistry and Materials Science Series 606 $aSpectrum analysis 606 $aAnalytical chemistry 606 $aRegression analysis 606 $aSpectroscopy 606 $aAnalytical Chemistry 606 $aLinear Models and Regression 615 0$aSpectrum analysis. 615 0$aAnalytical chemistry. 615 0$aRegression analysis. 615 14$aSpectroscopy. 615 24$aAnalytical Chemistry. 615 24$aLinear Models and Regression. 676 $a543.015195 700 $aChu$b Xiaoli$01235493 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910574042603321 996 $aChemometric methods in analytical spectroscopy technology$92985062 997 $aUNINA