Modern household surveys increasingly provide information on subgroups as defined by content or regions. This kind of information, in general, is gained from censuses every ten years. Within the current European census round, some countries have decided to implement new methods which do not rely...

In this paper we describe a computer intensive method to find the ridge parameter in a prediction oriented linear model. With the help of a factorial experimental design the method is tested and compared to a classical one.

[Vorwort] Elektromobilität gilt national und international seit Jahren als Schlüsseltechnologie der Zukunft, die dazu beitragen soll, lokale Emissionen zu senken, weniger Primärenergien zu verbrauchen und dadurch klimaschonend zu wirken. Die Bundesregierung hat sich demzufolge innerhalb ihres...

Mit der vorliegenden empirischen Studie untersucht die FOM-FIRSTForschungsinitiative die Motivationsfaktoren von Unternehmen zur Erstellung von Nachhaltigkeitsberichten, indem sie den Zusammenhang zwischen den veröffentlichten Nachhaltigkeitsbemühungen deutscher Aktiengesellschaften und dem...

The optimization of the hyper-parameters of a statistical procedure or machine learning task is a crucial step for obtaining a minimal error. Unfortunately, the optimization of hyper-parameters usually requires many runs of the procedure and hence is very costly. A more detailed knowledge of the...

In this work we introduce a method for classification and visualization. In contrast to simultaneous methods like e.g. Kohonen SOM this new approach, called KMC/EDAM, runs through two stages. In the first stage the data is clustered by classical methods like K-means clustering. In the second...

In this paper it is shown that the number of latent factors in a multiple multivariate regression model need not be larger than the number of the response variables in order to achieve an optimal prediction. The practical importance of this lemma is outlined and an application of such a...