Design and analysis of physical and computer experiments

Design and analysis of experiments is a relevant topic of both theoretical and applied interest. For example, Orthogonal Fractional Factorial Designs are frequently used in many fields of application, including medicine, engineering and agriculture. They offer a valuable tool for dealing with problems where there are many factors and each run is expensive. They also keep the statistical analysis of data quite simple. Our research is mainly focused on

  • methodologies and tools for the generation of:
    - orthogonal fractional factorial designs (algebraic statistics for design of experiments),
    - designs for computer experiments,
    - adaptive designs;
  • kriging models
    - detection of the correlation structure among the training points
    - fitting the trend component

Research groups