RESEARCH ARTICLE
Specification Tests for the Poisson Distribution with a Stochastic Parameter
Simos G. Meintanis*
Department of Economics,
National and Kapodistrian University of Athens, Athens, Greece.
Article Information
Identifiers and Pagination:
Year: 2011Volume: 3
First Page: 27
Last Page: 30
Publisher Id: TOSPJ-3-27
DOI: 10.2174/1876527001103010027
Article History:
Received Date: 25/8/2011Revision Received Date: 28/9/2011
Acceptance Date: 10/10/2011
Electronic publication date: 25/11/2011
Collection year: 2011
© 2011 G. Meintanis et al.;
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
A new method is proposed for testing the mixed Poisson model which employs the well known identity between the probability generating function of the mixed Poisson distribution and the Laplace transform of the mixing distribution. The method utilizes a weighted L2-type statistic which may be easily calculated and the resulting test is consistent against general alternatives. A limit statistic is shown to be related to earlier methods which employ moment-- based contrasts. Some simulation results are also shown.
Keywords: Goodness-of-fit test, Probability generating function, Laplace transform, Mixed Poisson distribution..
