25 citations · 50 across the 7 of their papers we have counts for
10 papers
A unified approach to goodness-of-fit testing for spherical and hyperspherical data
Bruno Ebner, Norbert Henze, Simos Meintanis
We propose a general and relatively simple method for the construction of goodness-of-fit tests on the sphere and the hypersphere. The method is based on the characterization of pr…
On the eigenvalues associated with the limit null distribution of the Epps-Pulley test of normality
Bruno Ebner, Norbert Henze
The Shapiro--Wilk test (SW) and the Anderson--Darling test (AD) turned out to be strong procedures for testing for normality. They are joined by a class of tests for normality prop…
A new omnibus test of fit based on a characterisation of the uniform distribution
Bruno Ebner, Shawn Liebenberg, Jaco Visagie
In this paper, we revisit the classical goodness-of-fit problems for univariate distributions; we propose a new testing procedure based on a characterisation of the uniform distrib…
On a new test of fit to the beta distribution
Bruno Ebner, Shawn C. Liebenberg
We propose a new -type goodness-of-fit test for the family of beta distributions based on a conditional moment characterisation. The asymptotic null distribution is identified…
Testing normality in any dimension by Fourier methods in a multivariate Stein equation
Bruno Ebner, Norbert Henze, David Strieder
We study a novel class of affine invariant and consistent tests for multivariate normality. The tests are based on a characterization of the standard -variate normal distributio…
A new test of multivariate normality by a double estimation in a characterizing PDE
Philip Dörr, Bruno Ebner, Norbert Henze
This paper deals with testing for nondegenerate normality of a -variate random vector based on a random sample of . The rationale of the test is that the…