Articoli correlati a Multivariate Data Analysis for Root Cause Analyses...

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

Heller-Krippendorf, Danica

 
9783658285012: Multivariate Data Analysis for Root Cause Analyses and Time-of-Flight Secondary Ion Mass Spectrometry
Brossura
ISBN 10: 365828501X ISBN 13: 9783658285012
Casa editrice: Springer Spektrum, 2019

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull'autore

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.

Dalla quarta di copertina

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.


Contents
  • 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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Spektrum
Data di pubblicazione
2019
Lingua
Inglese
ISBN 10 
365828501X
ISBN 13 
9783658285012
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
216
Contatto del produttore
non disponibile
Persona responsabile
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