Introduction to Multivariate Calibration A Practical Approach /

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 figure...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Olivieri, Alejandro C. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Introduction to Multivariate Calibration  |h [electronic resource] :  |b A Practical Approach /  |c by Alejandro C. Olivieri. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a XVII, 243 p. 158 illus., 156 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a 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. 
520 |a 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. 
650 0 |a Analytical chemistry. 
650 0 |a Statistics . 
650 1 4 |a Analytical Chemistry.  |0 http://scigraph.springernature.com/things/product-market-codes/C11006 
650 2 4 |a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.  |0 http://scigraph.springernature.com/things/product-market-codes/S17020 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319970967 
776 0 8 |i Printed edition:  |z 9783319970981 
776 0 8 |i Printed edition:  |z 9783030073022 
856 4 0 |u https://doi.org/10.1007/978-3-319-97097-4  |z Full Text via HEAL-Link 
912 |a ZDB-2-CMS 
950 |a Chemistry and Materials Science (Springer-11644)