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dc.contributor.authorTsoularis, A.
dc.date.accessioned2013-05-07T02:07:00Z
dc.date.available2013-05-07T02:07:00Z
dc.date.issued2001
dc.identifier.citationTsoularis, A. (2001), Analysis of logistic growth models, Research Letters in the Information and Mathematical Sciences, 2, 23-46en
dc.identifier.issn1175-2777
dc.identifier.urihttp://hdl.handle.net/10179/4341
dc.description.abstractA variety of growth curves have been developed to model both unpredated, intraspecific population dynamics and more general biological growth. Most successful predictive models are shown to be based on extended forms of the classical Verhulst logistic growth equation. We further review and compare several such models and calculate and investigate properties of interest for these. We also identify and detail several previously unreported associated limitations and restrictions. A generalized form of the logistic growth curve is introduced which is shown incorporate these models as special cases. The reported limitations of the generic growth model are shown to be addressed by this new model and similarities between this and the extended growth curves are identified. Several of its properties are also presented. We furthermore show that additional growth characteristics are accommodated by this new model, enabling previously unsupported, untypical population dynamics to be modelled by judicious choice of model parameter values alone.en
dc.language.isoenen
dc.publisherMassey Universityen
dc.subjectGrowth curvesen
dc.subjectGrowth modelsen
dc.titleAnalysis of logistic growth modelsen
dc.typeArticleen


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