Teaching statistics to students in our area of economics and educational science often brings about the problem that students have either forgottentheir statistical knowledge, or have taken different classes than the ones we offer in basic statistics. We therefore need some kind of statistical...

Statistical research has always been at the edge of available computing power. Huge datasets, e.g in DataMining or Quantitative Finance, and computationally intensive techniques, e.g. bootstrap methods, always require a little bit more computing power than is currently available. But the most...

Exploratory factor analysis (EFA) is an important tool in data analyses, particularly in social science. Usually four steps are carried out which contain a large number of options. One important option is the number of factors and the association of variables with a factor. Our tools aim to...

In high-dimensional data, one often seeks a few interesting low-dimensional projections that reveal important features of the data. Projection pursuit is a procedure for searching high-dimensional data for interesting low-dimensional projections via the optimization of a criterion function...

Exploratory factor analysis (EFA) is an important tool in data analyses,particularly in social science. Usually four steps are carried out which contain alarge number of options. One important option is the number of factors and theassociation of variables with a factor. Our tools aim to...

Teaching statistics to students in our area of economics and educationalscience often brings about the problem that students have either forgottentheir statistical knowledge, or have taken different classes than the ones weoffer in basic statistics. We therefore need some kind of statistical...

In high-dimensional data, one often seeks a few interesting low-dimensional projections that reveal important features of the data. Projection pursuit is a procedure for searching high-dimensional data for interesting low-dimensional projections via the optimization of a criterion function...

Statistical research has always been at the edge of available computing power. Huge datasets, e.g in DataMining or Quantitative Finance, and computationally intensive techniques, e.g. bootstrap methods, always require a little bit more computing power than is currently available. But the most...