Data analysis for hyphenated techniques /

Based on a concrete set of working MATLAB programs, the book begins with a short program of snippets describing basic principles and proceeds to a complete application program filling a central analytical need: obtaining pure spectra from the observed overlapping spectra, with standard deviations fo...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Karjalainen, E. J. (Erkki J.)
Autres auteurs: Karjalainen, U. P. (Ulla P.)
Format: Électronique eBook
Langue:Inglés
Publié: Amsterdam ; New York : Elsevier, 1996.
Collection:Data handling in science and technology ; v. 17.
Sujets:
MATLAB.
MATLAB
Spectrum analysis > Statistical methods > Data processing.
Spectrum analysis > Statistical methods > Computer programs.
SCIENCE > Chemistry > Analytic.
Spectrum analysis > Statistical methods > Data processing
Chemical analysis
Accès en ligne:Texto completo
Texto completo
Table des matières:
  • Analysis of overlapping spectra
  • Data preprocessing
  • Compression with principal components
  • Techniques for library searches
  • Neighborhood operations on hyphenated data
  • Alternating regression
  • Applying the OSCAR algorithm : a practical example
  • Applications in other spectroscopies
  • Validation
  • AR and factor analysis
  • Looking ahead
  • The starting point
  • Selecting and preprocessing the raw data
  • Gathering the statistics from the AR experiment
  • AR statistics in two dimensions
  • AR statistics in three dimensions
  • Selecting an optimal parameter set
  • Displaying the spectra and elution curves
  • Calculating the confidence ranges of spectra and elution curves
  • Looking at the confidence ranges of the spectra and elution curves
  • Looking at the measurements
  • Finding help.

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