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Research

Classification

is an omnipresent challenge. It is therefore not surprising that classification methods are being developed in many sciences. Recently, however, the number of available methods has exploded. Thus, it is now a challenge to find the right procedure for an application problem or to optimally adapt existing procedures to such a problem. Moreover, the literature on the interpretation of the results of classification procedures seems rather thin compared to the ever new proposals of new procedures, and ease of interpretation is increasingly demanded as a matter of course by the users of the procedures.

Music and Statistics

The aim of this project is to automatically classify vocal interpretations in terms of tonal purity and various sound properties. Therefore, the physiological properties of the ear for perceiving sound are also of interest. Automatic transcription, i.e. the conversion of sound into musical notation, is another research focus. First results were obtained in a practical course in WS 1999/2000. Further results can be found as publications in the Technical Reports of the SFB475, as well as in the Working and Research Reports of the Department of Statistics.

Statistical Methods for Quality Assurance and Optimization

Quality monitoring and optimization are becoming increasingly important in the chemical industry with regard to cost reduction, certification and customer requirements. Statistical methods, especially desirability indices, are essential tools in this context.

(Statistical) design of experiments

attempts to investigate the relationship between target variables and factors possibly influencing them as completely as possible with as few experiments as possible. The aim is to identify those factors that really have an influence on the target variables and to determine those values of these factors that optimize (maximize / minimize) a target variable. A new area of research is the design of experiments on existing observational data for variable selection. For the EMILeA-stat project, an interactive teaching and learning environment (e-learning), the EMILeA Chemicals AG scenario for statistical experimental design was developed.

Life sciences

  • Diagnostic methods are required, for example, in the development, optimization and validation of test systems and automatic analyzers. In this field, new statistical methods and approaches are needed to optimize existing processes and to deal with new problems appropriately. For example, the long-term accuracy of diagnostic tests in routine diagnostics can only be guaranteed by optimal calibration procedures. In the field of genomics, proteomics, peptidomics, etc., new diagnostic methods are being sought, and statistics is significantly involved in study planning, implementation and evaluation for the approval of diagnostic methods. The Department of Statistics and Roche Diagnostik GmbH in Penzberg/Bavaria cooperate in research in these areas.
  • Linguistic information in neuronal responses: In cooperation with the Fraunhofer Institute for Digital Media Technology (IDMT) in Ilmenau/Thuringia, information is searched for in the neuronal response at the human auditory nerve. Based on a simulation model of the inner ear, speech input is automatically recognized.

Explorative data analysis

includes tools to visualize data and dependencies between different data series. The idea is to let the data speak for itself. In this way, conspicuities in the individual data series should be made clear (groups, outliers) and indications of correlations between different variables that were not expected in advance should be found. Such correlations are then used to investigate the extent to which certain variables can be predicted from others.

Expert systems

are computer systems that attempt to copy a domain expert's approach to solving a problem. Expert statistical systems are about the implementation of a statistician's knowledge on a computer, with the aim of concretizing the state of knowledge (what is really known, what is not (yet) ?) and sharing the knowledge.

Error-in-the-Variables Models

are mathematical/statistical approximations for real relationships between target variables and the factors influencing them, in which measurement errors in the factors are also modeled. Standard models, on the other hand, assume that measurement errors only occur in the target variables, i.e. that factors are completely 'under control'.

Numerical methods

are calculation rules (algorithms) for the solution of mathematical/statistical problems with given values of the output variables. The development of such procedures received new impetus by the increasing computerization. The aim is to calculate the correct result with the highest possible accuracy in the shortest possible time, taking into account all special cases.

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Location & approach

The campus of the Technical University of Dortmund is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits.

The campus of the Technical University of Dortmund is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits.

One of the landmarks of the TU Dortmund is the H-Bahn. Line 1 runs every 10 minutes between Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund University S, while Line 2 commutes every 5 minutes between Campus North and Campus South. It covers this distance in two minutes.

From Dortmund Airport, it takes just over 20 minutes to get to Dortmund Central Station by AirportExpress and from there to the university by S-Bahn. A wider range of international flight connections is offered by Düsseldorf Airport, about 60 kilometers away, which can be reached directly by S-Bahn from the university's train station.