Overview
- Strategies to more efficiency in To.
- F-SIMS data analysis
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Danica Heller-Krippendorf develops concepts and approaches optimizing the applicability of MVA on data sets from an industrial context. They enable more time-efficient MVA of the respective ToF‑SIMS data. Priority is given to two main aspects by the author: First, the focus is on strategies for a more time-efficient collection of the input data. This includes the optimal selection of the number of replicate measurements, the selection of input data and guidelines for the selection appropriate data preprocessing methods. Second, strategies for more efficient analysis of MVA results are presented.
​About the Author:
Danica Heller-Krippendorf did her research and dissertation at the University of Siegen, Germany, in collaboration with a German analytical service company. Now she is engineer in analytics at a DAX company.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Multivariate Data Analysis for Root Cause Analyses and Time-of-Flight Secondary Ion Mass Spectrometry
Authors: Danica Heller-Krippendorf
DOI: https://doi.org/10.1007/978-3-658-28502-9
Publisher: Springer Spektrum Wiesbaden
eBook Packages: Chemistry and Materials Science, Chemistry and Material Science (R0)
Copyright Information: Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2019
Softcover ISBN: 978-3-658-28501-2Published: 15 November 2019
eBook ISBN: 978-3-658-28502-9Published: 31 October 2019
Edition Number: 1
Number of Pages: XIX, 195
Number of Illustrations: 60 b/w illustrations, 6 illustrations in colour
Topics: Mass Spectrometry, Applied and Technical Physics, Spectroscopy/Spectrometry