Instructor Led Linear Regression Training Classes

Multivariate Data Analysis MVA and Design of Experiments DoE Level-1 Bangalore July 21-23 2008 ...alysis (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 data more...

Multivariate Data Analysis - Level 1, Helsinki, Finland - May 15-16, 2008 ...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 outliers Calibration, validation Prediction The different validation methods Basic rules for successful data more...

Simple and Multiple Linear Regression Techniques ...ne-day workshop offers an overview of simple and multiple linear regression techniques, starting with the interpretation of results, strengths and weaknesses and also discusses their practical realization. Upon completion of this course, participants will be able to: Explain the context of use of simple and multiple linear regression Understand what the underlying assumptions of the more...

Nonlinear Regression ...linear regression. This special type of regression technique is commonly used to model growth curves and to establish relationships between dose and responses. We discuss the strengths and weaknesses of the techniques, their practical implementation and the interpretation of results produced from the use of these techniques. Upon completion of this course, participants will understand the 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...

Logistic Regression ...or no. The training starts with a refresher on multiple linear regression a statistical modeling technique used to relate a continuous response variable to a set of explanatory variables. The concepts of modeling, parameter estimation, as well as interpretation of model coefficients, goodness-of-fit and validation measures will be reviewed. Why ordinary multiple linear regression is no more...