Monte Carlo histograms with statistical fluctuations and without proper mathematical modelling are often used to analyse experimental data. A procedure to smooth one and two-dimensional histograms is described which uses a diffusion-like information exchange between neighboring bins to average over statistical fluctuations. The procedure is steered by two parameters which control the fraction o...

A statistical method for finding the nucleotide positions in tRNA sequences that correlate with amino acid specificity has been developed. The procedure involves finding the subset of nucleotide positions and groups of positions where the marginal density of one amino acid tRNA class does not overlap that of any other amino acid class. The procedure is an application of a statistical method kno...

Mass spectrometric identification of cross-linked peptides can provide valuable information about the structure of protein complexes. We describe a straightforward database search scheme that identifies and assigns statistical confidence estimates to spectra from cross-linked peptides. The method is well suited to targeted analysis of a single protein complex, without requiring an isotope label...

Obstacle detection is an important part of Video Processing because it is indispensable for a collision prevention of autonomously navigating moving objects. For example, vehicles driving without human guidance need a robust prediction of potential obstacles, like other vehicles or pedestrians. Most of the common approaches of obstacle detection so far use analytical and statistical methods lik...

The modern polycrystalline composite materials have a complex internal structure consisting of different phases and interfaces with random distribution. Relevant examples are Al2O3/ZrO2, i.e. alumina/zirconia composites, widely used as structural applications ranging from aerospace to bio-engineering. Depending on the content grain size broad range material characteristics, among which elastic ...

Many study designs in applied sciences give rise to correlated data. For example, subjects are followed over time, are repeatedly treated under different experimental conditions, or are observed in logical units (e.g. clinics, families, litters). Statistical methods for regression analysis for this kind of data with continuous responses are quite established and the SAS system offers a variety ...