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dc.contributor.authorFerrer Cancho, Ramon
dc.contributor.authorHernández Fernández, Antonio
dc.contributor.authorBaixeries i Juvillà, Jaume
dc.contributor.authorDebowski, Lukasz
dc.contributor.authorMacutek, Jan
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.contributor.otherUniversitat Politècnica de Catalunya. Institut de Ciències de l'Educació
dc.date.accessioned2015-04-09T09:05:34Z
dc.date.available2015-12-31T01:30:56Z
dc.date.created2014-12-12
dc.date.issued2014-12-12
dc.identifier.citationFerrer-i-Cancho, R. [et al.]. When is Menzerath-Altmann law mathematically trivial? A new approach. "Statistical applications in genetics and molecular biology", 12 Desembre 2014, vol. 13, núm. 6, p. 633-644.
dc.identifier.issn2194-6302
dc.identifier.urihttp://hdl.handle.net/2117/27198
dc.description.abstractMenzerath’s law, the tendency of Z (the mean size of the parts) to decrease as X (the number of parts) increases, is found in language, music and genomes. Recently, it has been argued that the presence of the law in genomes is an inevitable consequence of the fact that Z = Y/X, which would imply that Z scales with X as Z~1/X. That scaling is a very particular case of Menzerath-Altmann law that has been rejected by means of a correlation test between X and Y in genomes, being X the number of chromosomes of a species, Y its genome size in bases and Z the mean chromosome size. Here we review the statistical foundations of that test and consider three non-parametric tests based upon different correlation metrics and one parametric test to evaluate if Z~1/X in genomes. The most powerful test is a new non-parametric one based upon the correlation ratio, which is able to reject Z~1/X in nine out of 11 taxonomic groups and detect a borderline group. Rather than a fact, Z~1/X is a baseline that real genomes do not meet. The view of Menzerath-Altmann law as inevitable is seriously flawed.
dc.format.extent12 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.lcshMonte Carlo method
dc.subject.lcshGenomes
dc.subject.otherMenzerath-Altmann law
dc.subject.otherPower-laws
dc.titleWhen is Menzerath-Altmann law mathematically trivial? A new approach
dc.typeArticle
dc.subject.lemacMontecarlo, Mètode de
dc.subject.lemacGenomes
dc.contributor.groupUniversitat Politècnica de Catalunya. LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge
dc.identifier.doi10.1515/sagmb-2013-0034
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.degruyter.com/view/j/sagmb.2014.13.issue-6/sagmb-2013-0034/sagmb-2013-0034.xml
dc.rights.accessOpen Access
local.identifier.drac15346006
dc.description.versionPostprint (author’s final draft)
local.citation.authorFerrer-i-Cancho, R.; Hernandez Fernandez, A.; Baixeries, J.; Debowski, L.; Macutek, J.
local.citation.publicationNameStatistical applications in genetics and molecular biology
local.citation.volume13
local.citation.number6
local.citation.startingPage633
local.citation.endingPage644


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