1 citations · 1 across the 3 of their papers we have counts for
4 papers
Tests for multivariate normality -- a critical review with emphasis on weighted -statistics
Bruno Ebner, Norbert Henze
This article gives a synopsis on new developments in affine invariant tests for multivariate normality in an i.i.d.-setting, with special emphasis on asymptotic properties of sever…
On combining the zero bias transform and the empirical characteristic function to test normality
Bruno Ebner
We propose a new powerful family of tests of univariate normality. These tests are based on an initial value problem in the space of characteristic functions originating from the f…
Testing multivariate uniformity based on random geometric graphs
Bruno Ebner, Franz Nestmann, Matthias Schulte
We present new families of goodness-of-fit tests of uniformity on a full-dimensional set based on statistics related to edge lengths of random geometric graphs. Asym…
Goodness-of-fit tests for complete spatial randomness based on Minkowski functionals of binary images
Bruno Ebner, Norbert Henze, Michael A. Klatt +1
We propose a class of goodness-of-fit tests for complete spatial randomness (CSR). In contrast to standard tests, our procedure utilizes a transformation of the data to a binary im…