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.