Statistical Consulting: IMS-StatLab

In the course of the information age the conception of statistics has rapidly changed. The basic objective of modern statistics is to extract specific and purposive information from data, i.e. from economic market studies, sociological surveys, scientific measuring series or highly correlated data from the DNA analysis.

In recent years plenty of auxiliary disciplines and techniques have been developed from these data structures, which makes it hardly possible for a single person to keep up with the development. Therefore, statistical problems often cannot be adequately approached since the contact person may be overburdened or unskilled to solve a particular problem. In many cases the already existing methods of data analysis have to be adapted or completely new methods have to be developed by experts.

To meet the need, IMS-StatLab offers basis for everybody interested from the fields of economy and administration as well as universities to deal with statistical problems quickly and efficiently. It is essential that all partners should equally benefit from a project.

Consequently, IMS-StatLab was founded by Prof. Dr. Axel Munk and his colleagues as a statistical advisory centre to provide you with unbureaucratic and purposeful consulting in the field of statistics and coordinate cooperation between experts in statistics and economists, administrative bodies and universities.

This may include trainee posts for students who specialise in statistics, drawing up expertises, statistical software consulting, developing problem-specific statistical methodology or software engineering. Furthermore, IMS-StatLab offers training courses and further education for industrial statisticians.

Economists can take this unique opportunity to get highly competent and progressive solutions to specific problems. This is guaranteed by the overregional and interdisciplinary conception of IMS-StatLab. Statistical problems frequently cannot be considered in isolation. In such cases we cooperate with, i.e. computer scientists or experts on applied mathematics.