An enormous number of statistical methods have been developed in quantitivefinance during the last decades. Nonparametric methods, bootstrapping timeseries, wavelets, estimation of diffusion coefficients are now almost standard instatistical applications. To implement these new methods the...

We propose a client server architecture for statistical computing. The main feature of our approach is the possibility to connect various client programs via a TCP/IP connection to a powerful statistical engine. This offers the opportunity to include the statistical engine into a number of...

Viele statistische Problemstellungen erfordern in der heutigen Zeit den Einsatz von Computern. Der von uns in dieser Dissertation vorgestellte Ansatz kombiniert die Fähigkeiten der statistischen Softwareumgebung XploRe, mit den Vorteilen einer verteilten Client/Server Anwendung und den...

Many mathematical and statistical questions require the use of computational assistance. The proposed XploRe Quantlet Client (XQC) with it's combined CUI and GUI interface gives access to the XploRe software environment (XploRe Quantlet Server - XQS) with it's large number of available...

Statistical software has also become an important part of scientific research that is reflected in the publications of the research results. Publishing a mathematical theorem requires also the publication of the proof of this theorem. The result of a computation can be seen as the equivalent of...

An enormous number of statistical methods have been developed in quantitive finance during the last decades. Nonparametric methods, bootstrapping time series, wavelets, estimation of diffusion coefficients are now almost standard in statistical applications. To implement these new methods the...