We simulate forecast errors with different variance-covariance structures based on macroeconomic data. The simulations are used to compare the performance of different forecast combining techniques.

This work, and specially, the use of clustering algorithms was motivated by the need to perform a field-study with erosion data from arid areas. Using data obtained from analyzing erosion, land degradation and desertification phenomena will show some limitations. If only terrestrial observations...

We present a robust graphical procedure for routine detection of isolated and patchy outliers in univariate time series. This procedure is suitable for retrospective as well as for online identification of outliers. It is based on a phase space reconstruction of the time series which allows to...

As will be shown the current use of Desirability Indices for optimisation purposes in experimental design gives biased results in general. Researchers were satisfied with approximative solutions as unbiased results would have required analytical expressions for the distributions of Desirability...

Intelligent alarm systems are needed for adequate bedside decision support in critical care. Clinical information systems acquire physiological variables online in short time intervals. To identify complications as well as therapeutic effects procedures for rapid classification of the current...

The paper considers the problem of non-parametric regression with emphasis on controlling the number of local extrema. Two methods, the run method and the taut string-wavelet method, are introduced and analysed on standard test beds. It is shown that the number and location of local extreme...

An overview is given over the S-Plus libraries and modules for statistical analysis of spatial data that are currently available at the Department of Statistics, University of Dortmund. It is believed that this includes all libraries currently available on the internet. Listings of functions...