Instructor Led Mlr Training Classes

Multivariate Data Analysis MVA and Design of Experiments DoE Level-1 Bangalore July 21-23 2008 ...omponent Analysis (PCA) * Multivariate regression: => MLR- Multi Linear Regression => PCR- Principal Component Regression => PLS- Partial Least Squares * Relevant data collection * Multivariate modelling step by step * Pretreatment and scaling * Detecting and dealing with outliers * Calibration, validation * Prediction * The different validation methods * Basic rules for successful more...

Multivariate Data Analysis - Level 1, Helsinki, Finland - May 15-16, 2008 ...(PCA) Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS) Relevant data collection Multivariate modeling step by step Pretreatment and scaling Detecting and dealing with outliers Calibration, validation Prediction The different validation methods Basic rules for successful data analysis Check the 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...

Advanced Multivariate Data Analysis with Chemometrics & Spectroscopic Applications - Level 2 (in Japanese) The courses have been designed for individuals: - Having Level 1 knowledge of Multivariate Analysis - Involved in consumer insights, R&D, product development, process optimization, quality control & monitoring. - Working or likely to work with spectroscopic instruments (NIR, FTIR, UV, UV/VIS, NMR, DAS, Raman, Mass Spectroscopy), chromatography instruments (LC, CE, GC, HPLC), and other more...

Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course) The course hax been designed for individuals: * Involved in consumer insights, R&D, product development, process optimization, quality control & 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 more...

Multivariate Data Analysis Introduction to multivariate data modeling When are multivariate methods useful? Principles and applications of: Principal Component Analysis (PCA) Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS) Relevant data collection Multivariate modeling step by step Pretreatment and scaling Detecting and dealing with more...