Eine exakte nonparametrische Prüfung auf Kovariation zweier autokorrelierter Zeitreihen

Häufig tritt in der psychologischen und psychiatrischen Forschung die Frage nach dem Zusammenhang zwischen zwei oder mehreren Zeitreihen auf. übliche Kovariationsmaße versagen dabei vor allem deshalb, weil sie nicht inferentiell ausgewertet werden können. An einem Beispiel aus der Pharmakopsychologie wird ein auf Pfanzagl (1963) zurückgehendes Verfahren vorgeschlagen, das es erlaubt, voraussetzungsfrei den Zusammenhang zwischen autokorrelierten Meßwertreihen zu prüfen. Als Unabhängigkeit zweier Zeitreihen wird definiert, daß zwischen ihnen bei Erhaltung der Autokorrelation kein höherer Zusammenhang besteht als nach dem Zufall zu erwarten.The problem of examining the relation between two or more series of successive observations occurs often in the psychologieal and psychiatrie research. The usual methods of measuring covariation cannot be employed here, particularly because they cannot be used to draw inferences. The present paper describes a new method to examine the relation between autocorrelated series of successive observations, without using any presuppositions. Two successive series are considered to be independent, when the relation between them is not higher than that expected by chance. The method described here is based upon a paper by Pfanzagl (1963), and is illustrated with the help of an example from the field of Pharmacopsychology

Development of the DLR Next Generation Train running gear research facility (NGT-FuN)

A full-scale prototype of the Next Generation Train (NGT) running gear with a roller rig installation bench will be built as proof of concept of the running gear and its suitability for high-speed traffic. It will be available as the research platform “Forschungsinfrastruktur NGT-Fahrwerk” (FuN) for the German Aerospace Center (DLR) internal and external research activities. This work presents an innovative method and tool chain to develop application software for the automation of a mechatronic running gear (prototype). The methodology, development, and simulation tools that offer a consistent tool chain from model creation to real-time software and measurement data processing are presented. The model and software structures that are necessary for the software environment are described. The software-in-the-loop environment couples the existing multi-body simulations for the development process with signal-based simulation software using a co-simulation interface. The resulting software-in-theloop simulation environment contains a novel interface layer that translates the mechanical states of the multi-body simulation to pseudo-electrical signals that are read or written by the application software. This makes it possible to develop real-time applications and software structures in software-in-the-loop architectures. The real-time software contains a dedicated model structure of input, processing and output submodels, which is based on signal flow and distinct assignment of tasks. On the rapid-control-prototyping hardware, the real-time software is investigated with a virtual installation bench simulation