Instructor Led Design Of Experiments Training Classes in Norway

Multivariate Data Analysis MVA and Design of Experiments DoE Level-1 Bangalore July 21-23 2008 Multivariate Analysis Level - 1 -------------------------------- * The world is multivariate Introduction to multivariate data modelling * When are multivariate methods useful? * Principal Component Analysis (PCA) * Multivariate regression: => MLR- Multi Linear Regression => PCR- Principal Component Regression => PLS- Partial Least Squares * Relevant data collection * Multivariate  more...

Multivariate Data Analysis 1 The three-day introductory class is a hands-on course designed to teach participants how to use chemometrics to solve practical problems. The 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  more...

Experimental Design DoE The Design of Experiment training will provide participants with an overview of Experimental Design, its importance in multivariate statistics and an introduction to classical experimental strategies. The course will assume no previous statistical or DOE experience, but will accommodate advanced topics for seasoned practitioners as well.  more...

Multivariate Data Analysis - Level 1, Helsinki, Finland - May 15-16, 2008 This class is a hands-on, practical application workshop that will teaches, 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  more...

Multivariate Data Analysis 2 This 3-day specialized course and applications development workshop will provide a hands-on, high-retention learning and skills development experience that will teach participants how to use advanced Multivariate Analysis to solve practical problems. The application of multivariate statistics for industrial applications will be highlighted. Numerous real world data sets will be examined during the  more...

Multivariate Data Analysis 1 The three-day introductory class is a hands-on course designed to teach participants how to use chemometrics to solve practical problems. The 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  more...

Experimental Design (DoE) This three-day class is a hands-on, practical application workshop that will teach participants to use The Unscrambler Experimental Design suite to design and conduct experiments. The course will provide participants with an overview of Experimental Design, its importance in Multivariate Statistics and an introduction to classical experimental strategies. Participants are encouraged to bring  more...

Multivariate Data Analysis(MVA) & Design of Experiments(DoE)- Chemometrics & Sensometrics Applications The integrated course has been designed to give participants a strong foundation in the basics and fundamentals of Multivariate Data Analysis (MVA) and Design of Experiments (DoE) The course combines theoretical studies and practical workshops, ensuring that each participant gets individual focus, and understands the practical uses of MVA & DoE applications in R&D, Product Development, PAT,  more...

Design of Experiments : Statistics : Advanced Training Course ... Design Statistic Apart from an Introduction to the Design of Experiments, this training session focuses on the design and the analysis of highly complex experimental designs. These designs are used to account for different sources of experimental constraints such as material heterogeneity, physical constraints, repeated measures , etc. Their design and analysis will be discussed,  more...