Transformations to symmetry based on the probability weighted characteristic function
Loading...
Date
Authors
Meintanis, Simos G.
Stupfler, Gilles
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Information Theory and Automation
Abstract
We suggest a nonparametric version of the probability weighted empirical characteristic
function (PWECF) introduced by Meintanis et al. [10] and use this PWECF in order to estimate
the parameters of arbitrary transformations to symmetry. The almost sure consistency of the
resulting estimators is shown. Finite{sample results for i.i.d. data are presented and are
subsequently extended to the regression setting. A real data illustration is also included
Description
Citation
Meintanis, S.G. & Stupfler, G. 2015. Transformations to symmetry based on the probability weighted characteristic function. Kybernetika, 51(4):571-587. [http://dx.doi.org/10.14736/kyb-2015-4-0571]