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Introduction to multivariate calibra...

Olivieri, Alejandro C.

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Introduction to multivariate calibration = a practical approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to multivariate calibration/ by Alejandro C. Olivieri.
Reminder of title:	a practical approach /
Author:	Olivieri, Alejandro C.
Published:	Cham :Springer International Publishing : : 2024.,
Description:	xx, 302 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1. Chemometrics and Multivariate Calibration -- 2. The Classical Least-Squares Model -- 3. The Inverse Least-Squares Model -- 4. Principal Component Analysis -- 5. Principal Component Regression.
Contained By:	Springer Nature eBook
Subject:	Chemometrics. -
Online resource:	https://doi.org/10.1007/978-3-031-64144-2
ISBN:	9783031641442

Introduction to multivariate calibration = a practical approach /
Olivieri, Alejandro C.

Introduction to multivariate calibrationa practical approach /[electronic resource] :by Alejandro C. Olivieri. - Second edition. - Cham :Springer International Publishing :2024. - xx, 302 p. :ill. (some col.), digital ;24 cm.

1. Chemometrics and Multivariate Calibration -- 2. The Classical Least-Squares Model -- 3. The Inverse Least-Squares Model -- 4. Principal Component Analysis -- 5. Principal Component Regression.

This second edition builds upon the success of its predecessor with expanded and updated content throughout most chapters, accompanied by the addition of a new chapter on Non-linearities in Multivariate Calibration. This latest chapter explores advanced topics including Radial Basis Functions (RBF) and Feed-forward Networks (FFN), providing practical insights and real-world applications within the context of multivariate calibration. Readers will find intuitive explanations of mathematical and statistical concepts, supported by a wealth of figures and diagrams, alongside discussions on recent advancements in the field such as figures of merit, detection limits, and method comparison. With its emphasis on real applications and comprehensive updates, the second edition remains an invaluable resource for students, researchers, and practitioners navigating the complexities of multivariate analytical calibration.

ISBN: 9783031641442

Standard No.: 10.1007/978-3-031-64144-2doiSubjects--Topical Terms:

813967
Chemometrics.

LC Class. No.: QD75.4.C45

Dewey Class. No.: 543.015195

Introduction to multivariate calibration = a practical approach /
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100 1 $a Olivieri, Alejandro C. $3 3722224
245 1 0 $a Introduction to multivariate calibration $h [electronic resource] : $b a practical approach / $c by Alejandro C. Olivieri.
250 $a Second edition.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2024.
300 $a xx, 302 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 1. Chemometrics and Multivariate Calibration -- 2. The Classical Least-Squares Model -- 3. The Inverse Least-Squares Model -- 4. Principal Component Analysis -- 5. Principal Component Regression.
520 $a This second edition builds upon the success of its predecessor with expanded and updated content throughout most chapters, accompanied by the addition of a new chapter on Non-linearities in Multivariate Calibration. This latest chapter explores advanced topics including Radial Basis Functions (RBF) and Feed-forward Networks (FFN), providing practical insights and real-world applications within the context of multivariate calibration. Readers will find intuitive explanations of mathematical and statistical concepts, supported by a wealth of figures and diagrams, alongside discussions on recent advancements in the field such as figures of merit, detection limits, and method comparison. With its emphasis on real applications and comprehensive updates, the second edition remains an invaluable resource for students, researchers, and practitioners navigating the complexities of multivariate analytical calibration.
650 0 $a Chemometrics. $3 813967
650 0 $a Chemical apparatus $x Calibration $x Statistical methods. $3 3722225
650 0 $a Analytical chemistry. $3 3168300
650 1 4 $a Analytical Chemistry. $3 890839
650 2 4 $a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 3591853
710 2 $a SpringerLink (Online service) $3 836513
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856 4 0 $u https://doi.org/10.1007/978-3-031-64144-2
950 $a Chemistry and Materials Science (SpringerNature-11644)