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A model of weak selection in the infinite alleles framework

dc.contributor.authorRothman, Edward D.en_US
dc.contributor.authorWeber, N. C.en_US
dc.date.accessioned2006-09-11T18:24:31Z
dc.date.available2006-09-11T18:24:31Z
dc.date.issued1986-08en_US
dc.identifier.citationRothman, E. D.; Weber, N. C.; (1986). "A model of weak selection in the infinite alleles framework." Journal of Mathematical Biology 24(3): 353-360. <http://hdl.handle.net/2027.42/46945>en_US
dc.identifier.issn1432-1416en_US
dc.identifier.issn0303-6812en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/46945
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=3760723&dopt=citationen_US
dc.description.abstractEwens (1972) proposed a model in the infinite allele framework for populations with neutrality of all alleles at a particular locus. This paper proposes a generalisation of Ewens' result for situations where there is a form of weak selection. The models considered here are continuous time, discrete state space Markov processes.en_US
dc.format.extent373296 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlagen_US
dc.subject.otherMathematical Biology in Generalen_US
dc.subject.otherMarkov Processen_US
dc.subject.otherMutationen_US
dc.subject.otherLinear and Multilinear Algebras, Matrix Theoryen_US
dc.subject.otherEwens Sampling Formulaen_US
dc.subject.otherMathematicsen_US
dc.subject.otherInfinite Allele Modelsen_US
dc.subject.otherAnalysisen_US
dc.subject.otherNumerical Analysisen_US
dc.subject.otherStatistics for Engineering, Physics, Computer Science, Chemistry & Geosciencesen_US
dc.subject.otherWeak Selectionen_US
dc.subject.otherProbability Theory and Stochastic Processesen_US
dc.titleA model of weak selection in the infinite alleles frameworken_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Statistics, University of Michigan, 48109, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumDepartment of Statistics, University of Michigan, 48109, Ann Arbor, MI, USA; Department of Mathematical Statistics, University of Sydney, 2006, N.S.W., Australiaen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid3760723en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/46945/1/285_2004_Article_BF00275643.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF00275643en_US
dc.identifier.sourceJournal of Mathematical Biologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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