Show simple item record

dc.contributor.author Flesia, Ana Georgina
dc.date.available 2017-08-09T16:25:24Z
dc.date.issued 2011-12
dc.identifier.citation Flesia, Ana Georgina; A Note on Distinguishing Random Trees Populations; Taylor & Francis; Communications In Statistics-theory And Methods; 42; 2; 12-2011; 239-251
dc.identifier.issn 0361-0926
dc.identifier.uri http://hdl.handle.net/11336/22122
dc.description.abstract This article addresses the problem of identifying differences between populations of trees. Recently, a sophisticated test was proposed by Busch et al. (2009), the BFFS test, a Kolmogorov type of test that maximizes the differences between the information of the samples, but it does not have a naive computation, since it involves a search over the set of trees that grows exponentially fast. An algorithm for computing the test statistic was devised in Busch et al. (2009), considering a search for a minimum cut over a transport network in a Ford Fulkerson type routine. The test was shown powerful but complex at the time to apply it in practice. On the contrary, we propose a very simple statistical test based on the distance between empirical mean trees, as an analog of the two sample Z statistic for comparing two means. Despite its simplicity, we can report that the test is quite powerful to separate distributions with different means, but it does not distinguish between different populations with the same means. In that case, the BFFS test should be applied. Nevertheless, on a real data set from proteomics, also discussed on Busch et al. (2009), our test obtained the same results, making it a valuable preliminary evaluation tool for random trees population discrimination.
dc.format application/pdf
dc.language.iso eng
dc.publisher Taylor & Francis
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject Hypothesis testing
dc.subject Random trees
dc.subject Nonparametric test
dc.subject Galton Watson process
dc.subject.classification Otras Matemáticas
dc.subject.classification Matemáticas
dc.subject.classification CIENCIAS NATURALES Y EXACTAS
dc.subject.classification Bioquímica y Biología Molecular
dc.subject.classification Ciencias Biológicas
dc.subject.classification CIENCIAS NATURALES Y EXACTAS
dc.title A Note on Distinguishing Random Trees Populations
dc.type info:eu-repo/semantics/article
dc.type info:ar-repo/semantics/artículo
dc.type info:eu-repo/semantics/publishedVersion
dc.date.updated 2017-08-09T14:25:34Z
dc.journal.volume 42
dc.journal.number 2
dc.journal.pagination 239-251
dc.journal.pais Reino Unido
dc.journal.ciudad Londres
dc.description.fil Fil: Flesia, Ana Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigación y Estudios de Matemática. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina
dc.journal.title Communications In Statistics-theory And Methods
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/03610926.2011.579371
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/abs/10.1080/03610926.2011.579371


Archivos asociados

Icon
Blocked Acceso no disponible

This item appears in the following Collection(s)

Show simple item record

info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)