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Introduction to multivariate calibra...

Olivieri, Alejandro C.

Introduction to multivariate calibrationa practical approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Introduction to multivariate calibrationby Alejandro C. Olivieri.
其他題名:	a practical approach /
作者:	Olivieri, Alejandro C.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xvii, 243 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Chemometrics.
電子資源:	http://dx.doi.org/10.1007/978-3-319-97097-4
ISBN:	9783319970974$q(electronic bk.)

Introduction to multivariate calibrationa practical approach /
Olivieri, Alejandro C.

Introduction to multivariate calibrationa practical approach /[electronic resource] :by Alejandro C. Olivieri. - Cham :Springer International Publishing :2018. - xvii, 243 p. :ill. (some col.), digital ;24 cm.

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$q(electronic bk.)

Standard No.: 10.1007/978-3-319-97097-4doiSubjects--Topical Terms:

265647
Chemometrics.

LC Class. No.: QD75.4.C45 / O458 2018

Dewey Class. No.: 543.015195

Introduction to multivariate calibrationa practical approach /
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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.
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