Non-linear autoregressive Markov regime-switching models are intuitive. Time-series approaches for the modelling of electricity spot prices are frequently proposed. In this paper, such models are compared with an ordinary linear autoregressive model with regard to their forecast performances....

Diese Studie untersucht Determinanten der Studiendauer und der Endnote von Kölner Studierenden im wirtschaftswissenschaftlichen Hauptstudium auf Grund einer Auswertung der Prüfungsdaten. Sie setzt eine entsprechende Studie über das Grundstudium (Mosler und Savine, 2004) fort. Die Ergebnisse...

Compared with the broad supply of literature measuring socioeconomic gradients in the distribution of health, only little is know about the life course perspective regarding income related inequalities. This article combines the reowned concentration index approach with semiparametric estimation...

Trimmed regions are a powerful tool of multivariate data analysis. They describe a probability distribution in Euclidean d-space regarding location, dispersion, and shape, and they order multivariate data with respect to their centrality. Dyckerhoff and Mosler (201x) have introduced the class of...

Die Studie untersucht Determinanten der Studiendauer und der Endnote von Kölner Studierenden im wirtschaftswissenschaftlichen Grundstudium auf Grund einer Auswertung der Prüfungsdaten. Die Ergebnisse führen zu Empfehlungen für den individuellen Aufbau des Studiums und die Konzeption...

Nonlinear autoregressive Markov regime-switching models are intuitive and frequently proposed time series approaches for the modelling of electricity spot prices. In this paper such models are compared to an ordinary linear autoregressive model with regard to their forecast performance. The...

The Gini index and the Gini mean difference of a univariate distribution are extended to measure the disparity of a general d-variate distribution. We propose and investigate two approaches, one based on the distance of the distribution from itself, the other on the volume of a convex set in (d...

A new procedure, called D D α-procedure, is developed to solve the problem of classifying d-dimensional objects into q ≥ 2 classes. The procedure is nonparametric; it uses q-dimensional depth plots and a very efficient algorithm for discrimination analysis in the depth space [0,1]<Superscript> q </Superscript>....</superscript>

In this paper we investigate a new class of central regions for probability distributions on Rd, called weighted-mean regions. Their restrictions to an empirical distribution are the weighted-mean trimmed regions investigated by Dyckerhoff and Mosler (2011) for d-variate data. Furthermore a new...