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From Camo Process AS
Multivariate Data Analysis 1
...course highlights include, application of Chemometrics to NIR spectroscopy and application of multivariate statistics for specific industrial applications. Customized real-world data sets will be examined during the course.
Participants are encouraged to bring their own data for analysis, applications development and group discussion. The course will use The Unscrambler software package, which
more...
...course highlights include, application of Chemometrics to NIR spectroscopy and application of multivariate statistics for specific industrial applications. Customized real-world data sets will be examined during the course.
Participants are encouraged to bring their own data for analysis, applications development and group discussion. The course will use The Unscrambler software package, which
more...
Multivariate Data Analysis with Chemometrics & Spectroscopic Applications Level 1
Our module Multivariate Data Analysis for Spectroscopy presents methods and applications for analysis of spectroscopy data using The Unscrambler®.
The Unscrambler® Overview Visualizing
Visualizing Data through Plots
Modifying Variable and Sample Sets
Data Pre-Processing
PCA
Regression Methods: PCR, PLS, MLR
Outliers in PCA and PLS
Inspection (Evaluation) of Data
more...
Our module Multivariate Data Analysis for Spectroscopy presents methods and applications for analysis of spectroscopy data using The Unscrambler®.
The Unscrambler® Overview Visualizing
Visualizing Data through Plots
Modifying Variable and Sample Sets
Data Pre-Processing
PCA
Regression Methods: PCR, PLS, MLR
Outliers in PCA and PLS
Inspection (Evaluation) of Data
more...
From Camo Inc.
Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course)
... & monitoring.
* Working with spectroscopic instruments (NIR, FTIR, UV, UV/VIS, NMR, DAS, Raman, Mass Spectroscopy) chromatography instruments (LC, CE, GC, HPLC), production data & sensory data, R&D, quality control or production processes.
Course Topics
# When are multivariate methods useful?
# Principles and applications of:
# Principal Component Analysis (PCA)
# Multivariate regression:
more...
... & monitoring.
* Working with spectroscopic instruments (NIR, FTIR, UV, UV/VIS, NMR, DAS, Raman, Mass Spectroscopy) chromatography instruments (LC, CE, GC, HPLC), production data & sensory data, R&D, quality control or production processes.
Course Topics
# When are multivariate methods useful?
# Principles and applications of:
# Principal Component Analysis (PCA)
# Multivariate regression:
more...
