Functional data analysis (FDA) has become a popular technique in applied statistics.In particular, this methodology has received considerable attention in recent studiesin empirical finance. In this talk we discuss selected topics of functional principalcomponents analysis that are motivated by...

Die Arbeit untersucht die Verwendung von Pseudo-Residuen zur Beurteilung der Anpassungsgüte von stochastischen Modellen ...

This article gives results specifically related to the last principal component.

Sweave combines typesetting with LATEX and data anlysis with S into integrated statistical documents. When run through R or Splus, all data analysis output (tables, graphs, ...) is created on the fly and inserted into a final LATEX document.(...)

In order to circumvent common difficulties in exchanging statistical data between heterogeneous applications (format incompatibilities, technocentric data representation), we introduce an XML-based markup language for statistical data, called StatDataML. After comparing StatDataML to other data...

Stock picking is the field of financial analysis that is of particular interest for many professional investors and researchers. In this study stock picking is implemented via binary classification trees. Optimal tree size is believed to be the crucial factor in forecasting performance of the...

Income is an important correlate for numerous phenomena in the social sciences. But manysurveys collect data with just a single question covering all forms of income. This raisesissues of quality, and these are heightened when individuals are asked about the householdtotal rather than own income...