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20182021
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5 papers · 1 filter

stat.ME2021

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…

stat.ME2020

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…

stat.ME2019

Testing multivariate normality by zeros of the harmonic oscillator in characteristic function spaces

Philip Dörr, Bruno Ebner, Norbert Henze

We study a novel class of affine invariant and consistent tests for normality in any dimension. The tests are based on a characterization of the standard -variate normal distrib…

stat.ME2018

A new characterization of the Gamma distribution and associated goodness of fit tests

Steffen Betsch, Bruno Ebner

We propose a class of weighted -type tests of fit to the Gamma distribution. Our novel procedure is based on a fixed point property of a new transformation connected to a Stei…

stat.ME2018

Testing normality via a distributional fixed point property in the Stein characterization

Steffen Betsch, Bruno Ebner

We propose two families of tests for the classical goodness-of-fit problem to univariate normality. The new procedures are based on -distances of the empirical zero-bias trans…