Bayes estimates are derived in multivariate linear models with unknown distribution. The prior distribution is defined using a Dirichlet prior for the unknown error distribution and a ormal-Wishart distribution for the parameters. The posterior distribution for the parameters is determined and...

The results of analyzing experimental data using a parametric approach may heavily depend on the chosen model. With this paper we describe computational tools in Splus for a simultaneous selection of parametric regression and variance models from a relatively rich model class and of Box-Cox...

Frontmatter -- Inhaltsverzeichnis -- Bericht der problemgebundenen Klasse: „Mathematik im System der Wissenschaften" -- Spektraltheorie -- Der Atiyah-Singersche Indexsatz -- Halbgruppen und gewöhnliche Differentialgleichungen in Banach- Räumen -- Algebraisierung der Algebraischen Geometrie...

The results of analyzing experimental data using a parametric model may heavily depend on the chosen model. In this paper we propose procedures for the adequate selection of nonlinear regression models if the intended use of the model is among the following: prediction of future values of the...