Multivariate Data Analysis for Root Cause Analyses and Time-of-Flight Secondary Ion Mass Spectrometry

  • Danica¬†Heller-Krippendorf

Table of contents

  1. Front Matter
    Pages i-xix
  2. Danica Heller-Krippendorf
    Pages 1-3
  3. Danica Heller-Krippendorf
    Pages 5-26
  4. Danica Heller-Krippendorf
    Pages 27-44
  5. Danica Heller-Krippendorf
    Pages 45-52
  6. Danica Heller-Krippendorf
    Pages 53-72
  7. Danica Heller-Krippendorf
    Pages 73-87
  8. Danica Heller-Krippendorf
    Pages 89-113
  9. Danica Heller-Krippendorf
    Pages 115-146
  10. Danica Heller-Krippendorf
    Pages 147-166
  11. Danica Heller-Krippendorf
    Pages 167-176
  12. Danica Heller-Krippendorf
    Pages 177-182
  13. Back Matter
    Pages 183-195

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.

  • Advantages of Correlation Loadings for MVA of ToF-SIMS Spectra
  • Required Number of Replicate Measurements in an Industrial Context
  • Selection of Suitable Data Pre-processing in Root Cause Analysis Including the Selection of an Efficient Peak List, Scaling, Normalization and Centering
  • New Presentation of PCA Results in Order to Simplify Data Analysis
Target Groups
  • Scientists and students in the field of surface analysis, data evaluation, ToF-SIMS and methods of multivariate data analysis
  • Practitioners, especially in industry, in the field of surface and error analysis
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.


Multivariate Data Analysis MVA Root Cause Analyses Time-of-Flight Secondary Ion Mass Spectrometry ToF-SIMS Principal Component Analysis PCA Failure Analysis Efficient Data Interpretation Data Pre-processing Data Pre-treatment Li-ion Battery Samples

Authors and affiliations

  • Danica¬†Heller-Krippendorf
    • 1
  1. 1.Faculty IV: School of Science and TechnologyUniversity of SiegenSiegenGermany

Bibliographic information