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Introduction to Multivariate Calibra...
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Olivieri, Alejandro C.
Introduction to Multivariate Calibration = A Practical Approach /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Introduction to Multivariate Calibration/ by Alejandro C. Olivieri.
其他題名:
A Practical Approach /
作者:
Olivieri, Alejandro C.
面頁冊數:
XVII, 243 p. 158 illus., 156 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Analytical chemistry. -
電子資源:
https://doi.org/10.1007/978-3-319-97097-4
ISBN:
9783319970974
Introduction to Multivariate Calibration = A Practical Approach /
Olivieri, Alejandro C.
Introduction to Multivariate Calibration
A Practical Approach /[electronic resource] :by Alejandro C. Olivieri. - 1st ed. 2018. - XVII, 243 p. 158 illus., 156 illus. in color.online resource.
Chapter1: Chemometrics and multivariate calibration -- Chapter2: The classical least-squares model -- Chapter3: The inverse least-squares model -- Chapter4: Principal component analysis -- Chapter5: Principal component regression -- Chapter6: The optimum number of latent variables -- Chapter7: The partial least-squares model -- Chapter8: Comparison of multivariate models -- Chapter9: Data pre-processing. Part 1: samples and sensors -- Chapter10: Data pre-processing. Part 2: mathematical filters.-Chapter11: Analytical figures of merit -- Chapter12: MVC1: a software for multivariate calibration -- Chapter13: Non-linearity and artificial neural networks -- Chapter14: Solutions to exercises.
This book offers an introductory-level guide to the complex field of multivariate analytical calibration, with particular emphasis on real applications such as near infrared spectroscopy. It presents intuitive descriptions of mathematical and statistical concepts, illustrated with a wealth of figures and diagrams, and consistently highlights physicochemical interpretation rather than mathematical issues. In addition, it describes an easy-to-use and freely available graphical interface, together with a variety of appropriate examples and exercises. Lastly, it discusses recent advances in the field (figures of merit, detection limit, non-linear calibration, method comparison), together with modern literature references.
ISBN: 9783319970974
Standard No.: 10.1007/978-3-319-97097-4doiSubjects--Topical Terms:
1182118
Analytical chemistry.
LC Class. No.: QD71-142
Dewey Class. No.: 543
Introduction to Multivariate Calibration = A Practical Approach /
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Chapter1: Chemometrics and multivariate calibration -- Chapter2: The classical least-squares model -- Chapter3: The inverse least-squares model -- Chapter4: Principal component analysis -- Chapter5: Principal component regression -- Chapter6: The optimum number of latent variables -- Chapter7: The partial least-squares model -- Chapter8: Comparison of multivariate models -- Chapter9: Data pre-processing. Part 1: samples and sensors -- Chapter10: Data pre-processing. Part 2: mathematical filters.-Chapter11: Analytical figures of merit -- Chapter12: MVC1: a software for multivariate calibration -- Chapter13: Non-linearity and artificial neural networks -- Chapter14: Solutions to exercises.
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