On left-truncating and mixing poisson distributions

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/22548

dc.contributor	Universitat Politècnica de Catalunya. Departament de Matemàtica Aplicada III
dc.contributor	Universitat Politècnica de Catalunya. Departament de Matemàtica Aplicada II
dc.contributor	Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.contributor	Universitat Politècnica de Catalunya. GREMA - Grup de Recerca en Estadística Matemàtica i les seves Aplicacions
dc.contributor	Universitat Politècnica de Catalunya. GRESA - Grup de recerca en estadística aplicada
dc.contributor.author	Valero Baya, Jordi
dc.contributor.author	Pérez Casany, Marta
dc.contributor.author	Ginebra Molins, Josep
dc.date	2014-02-01
dc.identifier.citation	Valero, J.; Perez, M.; Ginebra, J. On left-truncating and mixing poisson distributions. "Communications in statistics. Theory and methods", 01 Febrer 2014, p. 1-25.
dc.identifier.citation	0361-0926
dc.identifier.citation	10.1080/03610926.2013.863932
dc.identifier.uri	http://hdl.handle.net/2117/22548
dc.language.iso	eng
dc.relation	http://www.tandfonline.com/doi/full/10.1080/03610926.2013.863932#.U0LeX_l_vAs
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject	Poisson distribution
dc.subject	Theory of distributions (Functional analysis)
dc.subject	Poisson-stopped-sum distribution
dc.subject	Count variable: Left-truncated distribution
dc.subject	Mixed distribution
dc.subject	Model characterization
dc.subject	Probability generating function
dc.subject	Distribució (Teoria de la probabilitat)
dc.title	On left-truncating and mixing poisson distributions
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/article
dc.description.abstract	The distributions obtained by left-truncating at k a mixed Poisson distribution, kT-MP, and those obtained by mixing previously left-truncated Poisson distributions, M-kTP, are characterized by means of their probability generating function. The main consequence is that every kT-MP distribution is a M-kTP distribution, but not the other way around.

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