Training overview

Linear and non-linear methods to develop predictive calibration and classification models.
Backing up decisions by means of classical statistical tools and modern alternatives
DoE for chemical and related industries - Efficiently developing processes and products; exploration and optimization.
Acquiring information and insights by analyzing large amounts of (non-designed) data
DOE for formulations like polymer blends, drugs, paints and cosmetics
Spectroscopic regression models as an alternative to lab analyses
Categorical variables and optimal designs
Statistics-based process monitoring and control: standard and novel approaches.