Statistics in Environmental Science, Natural Science and Technology
|Prof. Dr. Ansgar Steland (RWTH Aachen)
|Dr. Katharina Hees (Paul-Ehrlich-Institut)
Tasks, Goals and Contents:
The committee is dedicated to research on stochastic modeling, methodology, and statistical data analysis related to problems in environmental and natural sciences and engineering. These areas are characterized by the need to construct and study complex models that often include time and space as dimensions and are consistent with physical, engineering, or biological knowledge. Research questions range from sampling designs, modeling, statistical testing, and uncertainty quantification to topics such as structural analysis, change detection, and process control. Application to real-world data typically requires the use of computer-intensive estimation techniques and simulations that can be scaled to large data sets.
The objectives of the committee can be summarized as follows:
- To provide a forum for the presentation and critical discussion of the latest statistical techniques in the field.
- Promote cooperation with practitioners to increase scientific exchange through increased involvement in the committee’s events
- Intensification of discussions between university statisticians and statisticians working in the field to accelerate the dissemination of newer methodological developments and to ensure continuous training
- Statistical Process Control and Reliability
- Structural Analysis and Monitoring
- Environmental and Spatial Statistics
- Dependent Data
- Stochastic Modeling
- Statistics for Stochastic Processes
- Sampling Design
The Committee has existed under its present name since 1990, having evolved from the Committee on “Technical Statistics”, founded in 1982.