GRESA

Research Group in Applied Statistics

General description of the activity

We conduct research in several areas: design of experiments, Bayesian statistical methods, forecasting, industrial statistics and quality management, modeling, simulation. But our main interest is in collaborating by providing our knowledge of statistical methods with the research of other groups. We can provide expertise in designing and analyzing experiments, modeling complex situations, forecasting and time series analysis, extracting information from complex data bases, etc. And we can do that by using already known statistical methods or by developing, as needed, new or adapted ones. Some relevant examples are our collaborations with CETAQUA (AGBAR) developing a methodology to identify microcomponents of domestic water uses or identifying and predicting water leaks in a complex network, with ITP in designing and analyzing experiments to improve a electron beam soldering process or with BBVA to develop a process improvement methodology based on facts (Evidence Based Management)  with an conducted by other to prediction techniques for times series, modeling multivariate analysis or Bayesian statistics.

Specific areas of research energy field

Currently we are working on the measure and evaluation of energy savings caused by energy saving measures adopted in non-residential buildings.