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Instructor Led Mlr Training Classes in Norway

Mlr Training Seminars and Classes
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Multivariate Data Analysis MVA and Design of Experiments DoE Level-1 Bangalore July 21-23 2008 instructor led trainingon-line e-learning cbt (computer based)coursewarebookworkshop / seminar ...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 instructor led traininggroup study and discussioncomputer lab ...(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 instructor led trainingon-line e-learning cbt (computer based)study at homecoursewarecomputer labJapanese 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) instructor led trainingon-line e-learning cbt (computer based)coursewarecomputer labJapanese 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...
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This page was last updated on sb5- 08/10/08 at 11:19:18