12 citations · 14 across the 12 of their papers we have counts for
11 papers · 1 filter
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…
Bahadur efficiencies of the Epps--Pulley test for normality
Bruno Ebner, Norbert Henze
The test for normality suggested by Epps and Pulley (1983) is a serious competitor to tests based on the empirical distribution function. In contrast to the latter procedures, it h…
Tests for circular symmetry of complex-valued random vectors
Norbert Henze, Pierre Lafaye de Micheaux, Simos G. Meintanis
We propose tests for the null hypothesis that the law of a complex-valued random vector is circularly symmetric. The test criteria are formulated as -type criteria based on em…
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…
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…
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…