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On a Birnbaum-Saunders distribution arising from a non-homogeneous Poisson process

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Autor dc.contributor.author Fierro R.
Autor dc.contributor.author Leiva V.
Autor dc.contributor.author Ruggeri F.
Autor dc.contributor.author Sanhueza A.
Fecha Tésis dc.date 2013
Fecha Ingreso dc.date.accessioned 2014-04-04T17:22:02Z
Fecha Disponible dc.date.available 2014-04-04T17:22:02Z
Fecha en Repositorio dc.date.issued 2014-04-04
dc.description.abstract The Birnbaum-Saunders distribution is based on the asymptotic normality of a sum of random variables. We propose a new version of this distribution assuming that the number of terms of such a sum depends on a non-homogeneous Poisson process. The classical Birnbaum-Saunders distribution is obtained when a homogeneous Poisson process is considered. © 2012 Elsevier B.V. en_US
dc.source Statistics and Probability Letters
Link Descarga dc.source.uri http://dx.doi.org/10.1016/j.spl.2012.12.018
Link Descarga dc.source.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-84873956413&partnerID=40&md5=dd8830b06992b4bb5207f1e0ed8a8991
Title dc.title On a Birnbaum-Saunders distribution arising from a non-homogeneous Poisson process en_US
dc.description.keywords Central limit theorem; Convergence in distribution; Poisson process; Primary; Secondary en_US


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