Return to home page
Searching: Otterbein library catalog
  Previous Record Previous Item Next Item Next Record
  Reviews, Summaries, etc...
EBOOK
Author Olivieri, Alejandro C.,
Title Introduction to multivariate calibration : a practical approach / Alejandro C. Olivieri.
Imprint Cham, Switzerland : Springer, 2018.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Subject Chemometrics.
Chemical apparatus -- Calibration -- Statistical methods.
Chemistry, Analytic.
Description 1 online resource (xvii, 243 pages) : illustrations (some color)
Bibliography Note Includes bibliographical references and index.
Contents 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.
Summary 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.
Note Online resource; title from PDF title page (SpringerLink, viewed August 30, 2018).
ISBN 9783319970974 (electronic bk.)
3319970976 (electronic bk.)
9783319970967 (print)
3319970968
ISBN/ISSN 10.1007/978-3-319-97097-4
OCLC # 1050332653
Additional Format Original 3319970968 9783319970967 (OCoLC)1042079851